Example Models#

The ActivitySim consortium maintains two supported “canonical” example implementations:

the SANDAG Model is a two-zone model based on the SANDAG ABM3 model, and
the MTC Model is a one-zone model based on the MTC’s Travel Model One.

Each example implementation includes a complete set of model components, input data, and configuration files, and is intended to serve as a reference for users to build their own models. They are provided as stand-alone repositories, to highlight the fact that model implementations are separate from the ActivitySim core codebase, and to make it easier for users to fork and modify the examples for their own use without needing to modify the ActivitySim core codebase. The examples are maintained by the ActivitySim Consortium and are kept up-to-date with the latest version of ActivitySim.

A discussion of the runtime performance of the example models is available in the example performance benchmarking section.

This page describes the structure of the MTC example model in more detail.

prototype_mtc#

Introduction#

The initial example implemented in ActivitySim was prototype_mtc. This section described the prototype_mtc model design, how to setup and run the example, and how to review outputs. The default configuration of the example is limited to a small sample of households and zones so that it can be run quickly and require less than 1 GB of RAM. The full scale example can be configured and run as well.

Model Design#

Overview#

The prototype_mtc example is based on (but has evolved away from) the Bay Area Metro Travel Model One (TM1). TM1 has its roots in a wide array of analytical approaches, including discrete choice forms (multinomial and nested logit models), activity duration models, time-use models, models of individual micro-simulation with constraints, entropy-maximization models, etc. These tools are combined in the model design to realistically represent travel behavior, adequately replicate observed activity-travel patterns, and ensure model sensitivity to infrastructure and policies. The model is implemented in a micro-simulation framework. Microsimulation methods capture aggregate outcomes through the representation of the behavior of individual decision-makers.

Zone System#

The prototype MTC model uses the 1454 TAZ zone system developed for the MTC trip-based model. The zones are fairly large for the region, which may somewhat distort the representation of transit access in mode choice. To ameliorate this problem, the original model zones were further sub-divided into three categories of transit access: short walk, long walk, and not walkable. However, support for transit subzones is not included in the activitysim implementation since the latest generation of activity-based models typically use an improved approach to spatial representation called multiple zone systems. See multiple_zone_systems for more information.

Decision-making units#

Decision-makers in the model system are households and persons. These decision-makers are created for each simulation year based on a population synthesis process such as PopulationSim. The decision-makers are used in the subsequent discrete-choice models to select a single alternative from a list of available alternatives according to a probability distribution. The probability distribution is generated from various logit-form models which take into account the attributes of the decision-maker and the attributes of the various alternatives. The decision-making unit is an important element of model estimation and implementation, and is explicitly identified for each model.

Person type segmentation#

TM1 is implemented in a micro-simulation framework. A key advantage of the micro-simulation approach is that there are essentially no computational constraints on the number of explanatory variables which can be included in a model specification. However, even with this flexibility, the model system includes some segmentation of decision-makers. Segmentation is a useful tool both to structure models and also as a way to characterize person roles within a household.

The person types shown below are used for the example model. The person types are mutually exclusive with respect to age, work status, and school status.

Person Type Code	Person Type	Age	Work Status	School Status
1	Full-time worker (30+ hours a week)	18+	Full-time	None
2	Part-time worker (<30 hours but works on a regular basis)	18+	Part-time	None
3	College student	18+	Any	College
4	Non-working adult	18 - 64	Unemployed	None
5	Retired person	65+	Unemployed	None
6	Driving age student	16 - 17	Any	Pre-college
7	Non-driving student	6 - 16	None	Pre-college
8	Pre-school child	0 - 5	None	Preschool

Household type segments are useful for pre-defining certain data items (such as destination choice size terms) so that these data items can be pre-calculated for each segment. Precalculation of these data items reduces model complexity and runtime. The segmentation is based on household income, and includes four segments - low, medium, high, very high.

In the model, the persons in each household are assigned a simulated but fixed value of time that modulates the relative weight the decision-maker places on time and cost. The probability distribution from which the value of time is sampled was derived from a toll choice model estimated using data from a stated preference survey performed for the SFCTA Mobility, Access, and Pricing Study, and is a lognormal distribution with a mean that varies by income segment.

Activity type segmentation#

The activity types are used in most model system components, from developing daily activity patterns and to predicting tour and trip destinations and modes by purpose. The set of activity types is shown below. The activity types are also grouped according to whether the activity is mandatory or non-mandatory and eligibility requirements are assigned determining which person-types can be used for generating each activity type. The classification scheme of each activity type reflects the relative importance or natural hierarchy of the activity, where work and school activities are typically the most inflexible in terms of generation, scheduling and location, and discretionary activities are typically the most flexible on each of these dimensions. Each out-of-home location that a person travels to in the simulation is assigned one of these activity types.

Purpose	Description	Classification	Eligibility
Work	Working at regular workplace or work-related activities outside the home	Mandatory	Workers and students
University	College or university	Mandatory	Age 18+
High School	Grades 9-12	Mandatory	Age 14-17
Grade School	Grades preschool, K-8	Mandatory	Age 0-13
Escorting	Pick-up/drop-off passengers (auto trips only)	NonMandatory	Age 16+
Shopping	Shopping away from home	NonMandatory	Age 5+ (if joint travel, all persons)
Other Maintenance	Personal business/services and medical appointments	NonMandatory	Age 5+ (if joint travel, all persons)
Social/Recreational	Recreation, visiting friends/family	NonMandatory	Age 5+ (if joint travel, all persons)
Eat Out	Eating outside of home	NonMandatory	Age 5+ (if joint travel, all persons)
Other Discretionary	Volunteer work, religious activities	NonMandatory	Age 5+ (if joint travel, all persons)

Treatment of time#

The TM1 example model system functions at a temporal resolution of one hour. These one hour increments begin with 3 AM and end with 3 AM the next day. Temporal integrity is ensured so that no activities are scheduled with conflicting time windows, with the exception of short activities/tours that are completed within a one hour increment. For example, a person may have a short tour that begins and ends within the 8 AM to 9 AM period, as well as a second longer tour that begins within this time period, but ends later in the day.

A critical aspect of the model system is the relationship between the temporal resolution used for scheduling activities and the temporal resolution of the network assignment periods. Although each activity generated by the model system is identified with a start time and end time in one hour increments, LOS matrices are only created for five aggregate time periods. The trips occurring in each time period reference the appropriate transport network depending on their trip mode and the mid-point trip time. The definition of time periods for LOS matrices is given below.

Time Period	Start Hour
EA	3
AM	5
MD	9
PM	14
EV	18

Trip modes#

The trip modes defined in the example model are below. The modes include auto by occupancy and toll/non-toll choice, walk and bike, walk and drive access to five different transit line-haul modes, and ride hail with taxi, single TNC (Transportation Network Company), and shared TNC.

Auto

SOV Free

SOV Pay

2 Person Free

2 Person Pay

3+ Person Free

3+ Person Pay

Nonmotorized

Walk

Bike

Transit

Walk

Walk to Local Bus

Walk to Light-Rail Transit

Walk to Express Bus

Walk to Bus Rapid Transit

Walk to Heavy Rail

Drive

Drive to Local Bus

Drive to Light-Rail Transit

Drive to Express Bus

Drive to Bus Rapid Transit

Drive to Heavy Rail

Ride Hail

Taxi

Single TNC

Shared TNC

Sub-models#

The general design of the prototype_mtc model is presented below. Long-term choices that relate to the usual workplace/university/school for each worker and student, household car ownership, and the availability of free parking at workplaces are first.

The coordinated daily activity pattern type of each household member is the first travel-related sub-model in the hierarchy. This model classifies daily patterns by three types:

Mandatory, which includes at least one out-of-home mandatory activity (work or school)

Non-mandatory, which includes at least one out-of-home non-mandatory activity, but does not include out-of-home mandatory activities

Home, which does not include any out-of-home activity or travel

The pattern type sub-model leaves open the frequency of tours for mandatory and nonmandatory purposes since these sub-models are applied later in the model sequence. Daily pattern-type choices of the household members are linked in such a way that decisions made by members are reflected in the decisions made by the other members.

After the frequency and time-of-day for work and school tours are determined, the next major model component relates to joint household travel. This component produces a number of joint tours by travel purpose for the entire household, travel party composition in terms of adults and children, and then defines the participation of each household member in each joint household tour. It is followed by choice of destination and time-of-day.

The next stage relates to maintenance and discretionary tours that are modeled at the individual person level. The models include tour frequency, choice of destination and time of day. Next, a set of sub-models relate tour-level details on mode, exact number of intermediate stops on each half-tour and stop location. It is followed by the last set of sub-models that add details for each trip including trip departure time, trip mode details and parking location for auto trips.

The output of the model is a disggregate table of trips with individual attributes for custom analysis. The trips can be aggregated into travel demand matrices for network loading.

Setup#

The following describes the prototype_mtc model setup.

Folder and File Setup

The prototype_mtc has the following root folder/file setup:

configs - settings, expressions files, etc.

configs_mp - override settings for the multiprocess configuration

data - input data such as land use, synthetic population files, and network LOS / skims

output - outputs folder

Inputs#

In order to run prototype_mtc, you first need the input files in the data folder as identified in the configs\settings.yaml file and the configs\network_los.yaml file:

input_table_list: the input CSV tables for MTC (see below for column definitions):
- households - Synthetic population household records for a subset of zones.
- persons - Synthetic population person records for a subset of zones.
- land_use - Zone-based land use data (population and employment for example) for a subset of zones.
taz_skims: skims.omx - an OMX matrix file containing the MTC TM1 skim matrices for a subset of zones. The time period for the matrix must be represented at the end of the matrix name and be seperated by a double_underscore (e.g. BUS_IVT__AM indicates base skim BUS_IVT with a time period of AM).

These files are used in the tests as well. The full set of MTC households, persons, and OMX skims are on the ActivitySim resources repository.

Additional details on these files is available in the original Travel Model 1 repository, although many of the files described there are not used in ActivitySim.

Data Schema#

The following table lists the pipeline data tables, field names, the data types and other details associated with each table in the model:

Table	Field	DType	Creator	NCol	NRow
accessibility	auPkRetail	float32	compute_accessibility	10	1454
accessibility	auPkTotal	float32	compute_accessibility	10	1454
accessibility	auOpRetail	float32	compute_accessibility	10	1454
accessibility	auOpTotal	float32	compute_accessibility	10	1454
accessibility	trPkRetail	float32	compute_accessibility	10	1454
accessibility	trPkTotal	float32	compute_accessibility	10	1454
accessibility	trOpRetail	float32	compute_accessibility	10	1454
accessibility	trOpTotal	float32	compute_accessibility	10	1454
accessibility	nmRetail	float32	compute_accessibility	10	1454
accessibility	nmTotal	float32	compute_accessibility	10	1454
households	TAZ	int64	initialize_households	65	100
households	SERIALNO	int64	initialize_households	65	100
households	PUMA5	int64	initialize_households	65	100
households	income	int64	initialize_households	65	100
households	hhsize	int64	initialize_households	65	100
households	HHT	int64	initialize_households	65	100
households	UNITTYPE	int64	initialize_households	65	100
households	NOC	int64	initialize_households	65	100
households	BLDGSZ	int64	initialize_households	65	100
households	TENURE	int64	initialize_households	65	100
households	VEHICL	int64	initialize_households	65	100
households	hinccat1	int64	initialize_households	65	100
households	hinccat2	int64	initialize_households	65	100
households	hhagecat	int64	initialize_households	65	100
households	hsizecat	int64	initialize_households	65	100
households	hfamily	int64	initialize_households	65	100
households	hunittype	int64	initialize_households	65	100
households	hNOCcat	int64	initialize_households	65	100
households	hwrkrcat	int64	initialize_households	65	100
households	h0004	int64	initialize_households	65	100
households	h0511	int64	initialize_households	65	100
households	h1215	int64	initialize_households	65	100
households	h1617	int64	initialize_households	65	100
households	h1824	int64	initialize_households	65	100
households	h2534	int64	initialize_households	65	100
households	h3549	int64	initialize_households	65	100
households	h5064	int64	initialize_households	65	100
households	h6579	int64	initialize_households	65	100
households	h80up	int64	initialize_households	65	100
households	num_workers	int64	initialize_households	65	100
households	hwork_f	int64	initialize_households	65	100
households	hwork_p	int64	initialize_households	65	100
households	huniv	int64	initialize_households	65	100
households	hnwork	int64	initialize_households	65	100
households	hretire	int64	initialize_households	65	100
households	hpresch	int64	initialize_households	65	100
households	hschpred	int64	initialize_households	65	100
households	hschdriv	int64	initialize_households	65	100
households	htypdwel	int64	initialize_households	65	100
households	hownrent	int64	initialize_households	65	100
households	hadnwst	int64	initialize_households	65	100
households	hadwpst	int64	initialize_households	65	100
households	hadkids	int64	initialize_households	65	100
households	bucketBin	int64	initialize_households	65	100
households	originalPUMA	int64	initialize_households	65	100
households	hmultiunit	int64	initialize_households	65	100
households	chunk_id	int64	initialize_households	65	100
households	income_in_thousands	float64	initialize_households	65	100
households	income_segment	int32	initialize_households	65	100
households	median_value_of_time	float64	initialize_households	65	100
households	hh_value_of_time	float64	initialize_households	65	100
households	num_non_workers	int64	initialize_households	65	100
households	num_drivers	int8	initialize_households	65	100
households	num_adults	int8	initialize_households	65	100
households	num_children	int8	initialize_households	65	100
households	num_young_children	int8	initialize_households	65	100
households	num_children_5_to_15	int8	initialize_households	65	100
households	num_children_16_to_17	int8	initialize_households	65	100
households	num_college_age	int8	initialize_households	65	100
households	num_young_adults	int8	initialize_households	65	100
households	non_family	bool	initialize_households	65	100
households	family	bool	initialize_households	65	100
households	home_is_urban	bool	initialize_households	65	100
households	home_is_rural	bool	initialize_households	65	100
households	auto_ownership	int64	initialize_households	65	100
households	hh_work_auto_savings_ratio	float32	workplace_location	66	100
households	num_under16_not_at_school	int8	cdap_simulate	73	100
households	num_travel_active	int8	cdap_simulate	73	100
households	num_travel_active_adults	int8	cdap_simulate	73	100
households	num_travel_active_preschoolers	int8	cdap_simulate	73	100
households	num_travel_active_children	int8	cdap_simulate	73	100
households	num_travel_active_non_presch	int8	cdap_simulate	73	100
households	participates_in_jtf_model	int8	cdap_simulate	73	100
households	joint_tour_frequency	object	joint_tour_frequency	75	100
households	num_hh_joint_tours	int8	joint_tour_frequency	75	100
joint_tour_participants	tour_id	int64	joint_tour_participation	4	13
joint_tour_participants	household_id	int64	joint_tour_participation	4	13
joint_tour_participants	person_id	int64	joint_tour_participation	4	13
joint_tour_participants	participant_num	int64	joint_tour_participation	4	13
land_use	DISTRICT	int64	initialize_landuse	44	1454
land_use	SD	int64	initialize_landuse	44	1454
land_use	county_id	int64	initialize_landuse	44	1454
land_use	TOTHH	int64	initialize_landuse	44	1454
land_use	HHPOP	int64	initialize_landuse	44	1454
land_use	TOTPOP	int64	initialize_landuse	44	1454
land_use	EMPRES	int64	initialize_landuse	44	1454
land_use	SFDU	int64	initialize_landuse	44	1454
land_use	MFDU	int64	initialize_landuse	44	1454
land_use	HHINCQ1	int64	initialize_landuse	44	1454
land_use	HHINCQ2	int64	initialize_landuse	44	1454
land_use	HHINCQ3	int64	initialize_landuse	44	1454
land_use	HHINCQ4	int64	initialize_landuse	44	1454
land_use	TOTACRE	float64	initialize_landuse	44	1454
land_use	RESACRE	float64	initialize_landuse	44	1454
land_use	CIACRE	float64	initialize_landuse	44	1454
land_use	SHPOP62P	float64	initialize_landuse	44	1454
land_use	TOTEMP	int64	initialize_landuse	44	1454
land_use	AGE0004	int64	initialize_landuse	44	1454
land_use	AGE0519	int64	initialize_landuse	44	1454
land_use	AGE2044	int64	initialize_landuse	44	1454
land_use	AGE4564	int64	initialize_landuse	44	1454
land_use	AGE65P	int64	initialize_landuse	44	1454
land_use	RETEMPN	int64	initialize_landuse	44	1454
land_use	FPSEMPN	int64	initialize_landuse	44	1454
land_use	HEREMPN	int64	initialize_landuse	44	1454
land_use	OTHEMPN	int64	initialize_landuse	44	1454
land_use	AGREMPN	int64	initialize_landuse	44	1454
land_use	MWTEMPN	int64	initialize_landuse	44	1454
land_use	PRKCST	float64	initialize_landuse	44	1454
land_use	OPRKCST	float64	initialize_landuse	44	1454
land_use	area_type	int64	initialize_landuse	44	1454
land_use	HSENROLL	float64	initialize_landuse	44	1454
land_use	COLLFTE	float64	initialize_landuse	44	1454
land_use	COLLPTE	float64	initialize_landuse	44	1454
land_use	TOPOLOGY	int64	initialize_landuse	44	1454
land_use	TERMINAL	float64	initialize_landuse	44	1454
land_use	ZERO	int64	initialize_landuse	44	1454
land_use	hhlds	int64	initialize_landuse	44	1454
land_use	sftaz	int64	initialize_landuse	44	1454
land_use	gqpop	int64	initialize_landuse	44	1454
land_use	household_density	float64	initialize_landuse	44	1454
land_use	employment_density	float64	initialize_landuse	44	1454
land_use	density_index	float64	initialize_landuse	44	1454
person_windows	4	int8	initialize_households	21	271
person_windows	5	int8	initialize_households	21	271
person_windows	6	int8	initialize_households	21	271
person_windows	7	int8	initialize_households	21	271
person_windows	8	int8	initialize_households	21	271
person_windows	9	int8	initialize_households	21	271
person_windows	10	int8	initialize_households	21	271
person_windows	11	int8	initialize_households	21	271
person_windows	12	int8	initialize_households	21	271
person_windows	13	int8	initialize_households	21	271
person_windows	14	int8	initialize_households	21	271
person_windows	15	int8	initialize_households	21	271
person_windows	16	int8	initialize_households	21	271
person_windows	17	int8	initialize_households	21	271
person_windows	18	int8	initialize_households	21	271
person_windows	19	int8	initialize_households	21	271
person_windows	20	int8	initialize_households	21	271
person_windows	21	int8	initialize_households	21	271
person_windows	22	int8	initialize_households	21	271
person_windows	23	int8	initialize_households	21	271
person_windows	24	int8	initialize_households	21	271
persons	household_id	int64	initialize_households	42	271
persons	age	int64	initialize_households	42	271
persons	RELATE	int64	initialize_households	42	271
persons	ESR	int64	initialize_households	42	271
persons	GRADE	int64	initialize_households	42	271
persons	PNUM	int64	initialize_households	42	271
persons	PAUG	int64	initialize_households	42	271
persons	DDP	int64	initialize_households	42	271
persons	sex	int64	initialize_households	42	271
persons	WEEKS	int64	initialize_households	42	271
persons	HOURS	int64	initialize_households	42	271
persons	MSP	int64	initialize_households	42	271
persons	POVERTY	int64	initialize_households	42	271
persons	EARNS	int64	initialize_households	42	271
persons	pagecat	int64	initialize_households	42	271
persons	pemploy	int64	initialize_households	42	271
persons	pstudent	int64	initialize_households	42	271
persons	ptype	int64	initialize_households	42	271
persons	padkid	int64	initialize_households	42	271
persons	age_16_to_19	bool	initialize_households	42	271
persons	age_16_p	bool	initialize_households	42	271
persons	adult	bool	initialize_households	42	271
persons	male	bool	initialize_households	42	271
persons	female	bool	initialize_households	42	271
persons	has_non_worker	bool	initialize_households	42	271
persons	has_retiree	bool	initialize_households	42	271
persons	has_preschool_kid	bool	initialize_households	42	271
persons	has_driving_kid	bool	initialize_households	42	271
persons	has_school_kid	bool	initialize_households	42	271
persons	has_full_time	bool	initialize_households	42	271
persons	has_part_time	bool	initialize_households	42	271
persons	has_university	bool	initialize_households	42	271
persons	student_is_employed	bool	initialize_households	42	271
persons	nonstudent_to_school	bool	initialize_households	42	271
persons	is_student	bool	initialize_households	42	271
persons	is_gradeschool	bool	initialize_households	42	271
persons	is_highschool	bool	initialize_households	42	271
persons	is_university	bool	initialize_households	42	271
persons	school_segment	int8	initialize_households	42	271
persons	is_worker	bool	initialize_households	42	271
persons	home_taz	int64	initialize_households	42	271
persons	value_of_time	float64	initialize_households	42	271
persons	school_taz	int32	school_location	45	271
persons	distance_to_school	float32	school_location	45	271
persons	roundtrip_auto_time_to_school	float32	school_location	45	271
persons	workplace_taz	int32	workplace_location	52	271
persons	distance_to_work	float32	workplace_location	52	271
persons	workplace_in_cbd	bool	workplace_location	52	271
persons	work_zone_area_type	float64	workplace_location	52	271
persons	roundtrip_auto_time_to_work	float32	workplace_location	52	271
persons	work_auto_savings	float32	workplace_location	52	271
persons	work_auto_savings_ratio	float32	workplace_location	52	271
persons	free_parking_at_work	bool	free_parking	53	271
persons	cdap_activity	object	cdap_simulate	59	271
persons	cdap_rank	int64	cdap_simulate	59	271
persons	travel_active	bool	cdap_simulate	59	271
persons	under16_not_at_school	bool	cdap_simulate	59	271
persons	has_preschool_kid_at_home	bool	cdap_simulate	59	271
persons	has_school_kid_at_home	bool	cdap_simulate	59	271
persons	mandatory_tour_frequency	object	mandatory_tour_frequency	64	271
persons	work_and_school_and_worker	bool	mandatory_tour_frequency	64	271
persons	work_and_school_and_student	bool	mandatory_tour_frequency	64	271
persons	num_mand	int8	mandatory_tour_frequency	64	271
persons	num_work_tours	int8	mandatory_tour_frequency	64	271
persons	num_joint_tours	int8	joint_tour_participation	65	271
persons	non_mandatory_tour_frequency	int8	non_mandatory_tour_frequency	74	271
persons	num_non_mand	int8	non_mandatory_tour_frequency	74	271
persons	num_escort_tours	int8	non_mandatory_tour_frequency	74	271
persons	num_eatout_tours	int8	non_mandatory_tour_frequency	74	271
persons	num_shop_tours	int8	non_mandatory_tour_frequency	74	271
persons	num_maint_tours	int8	non_mandatory_tour_frequency	74	271
persons	num_discr_tours	int8	non_mandatory_tour_frequency	74	271
persons	num_social_tours	int8	non_mandatory_tour_frequency	74	271
persons	num_non_escort_tours	int8	non_mandatory_tour_frequency	74	271
school_destination_size	gradeschool	float64	initialize_households	3	1454
school_destination_size	highschool	float64	initialize_households	3	1454
school_destination_size	university	float64	initialize_households	3	1454
school_modeled_size	gradeschool	int32	school_location	3	1454
school_modeled_size	highschool	int32	school_location	3	1454
school_modeled_size	university	int32	school_location	3	1454
tours	person_id	int64	mandatory_tour_frequency	11	153
tours	tour_type	object	mandatory_tour_frequency	11	153
tours	tour_type_count	int64	mandatory_tour_frequency	11	153
tours	tour_type_num	int64	mandatory_tour_frequency	11	153
tours	tour_num	int64	mandatory_tour_frequency	11	153
tours	tour_count	int64	mandatory_tour_frequency	11	153
tours	tour_category	object	mandatory_tour_frequency	11	153
tours	number_of_participants	int64	mandatory_tour_frequency	11	153
tours	destination	int32	mandatory_tour_frequency	11	153
tours	origin	int64	mandatory_tour_frequency	11	153
tours	household_id	int64	mandatory_tour_frequency	11	153
tours	start	int8	mandatory_tour_scheduling	15	153
tours	end	int8	mandatory_tour_scheduling	15	153
tours	duration	int8	mandatory_tour_scheduling	15	153
tours	tdd	int64	mandatory_tour_scheduling	15	153
tours	composition	object	joint_tour_composition	16	159
tours	tour_mode	object	tour_mode_choice_simulate	17	319
tours	atwork_subtour_frequency	object	atwork_subtour_frequency	19	344
tours	parent_tour_id	float64	atwork_subtour_frequency	19	344
tours	stop_frequency	object	stop_frequency	21	344
tours	primary_purpose	object	stop_frequency	21	344
trips	person_id	int64	stop_frequency	7	859
trips	household_id	int64	stop_frequency	7	859
trips	tour_id	int64	stop_frequency	7	859
trips	primary_purpose	object	stop_frequency	7	859
trips	trip_num	int64	stop_frequency	7	859
trips	outbound	bool	stop_frequency	7	859
trips	trip_count	int64	stop_frequency	7	859
trips	purpose	object	trip_purpose	8	859
trips	destination	int32	trip_destination	11	859
trips	origin	int32	trip_destination	11	859
trips	failed	bool	trip_destination	11	859
trips	depart	float64	trip_scheduling	11	859
trips	trip_mode	object	trip_mode_choice	12	859
workplace_destination_size	work_high	float64	initialize_households	4	1454
workplace_destination_size	work_low	float64	initialize_households	4	1454
workplace_destination_size	work_med	float64	initialize_households	4	1454
workplace_destination_size	work_veryhigh	float64	initialize_households	4	1454
workplace_modeled_size	work_high	int32	workplace_location	4	1454
workplace_modeled_size	work_low	int32	workplace_location	4	1454
workplace_modeled_size	work_med	int32	workplace_location	4	1454
workplace_modeled_size	work_veryhigh	int32	workplace_location	4	1454

Households#

The households table contains the following synthetic population columns:

household_id: numeric ID of this household, used in persons table to join with household characteristics
TAZ: zone where this household lives
income: Annual household income, in 2000 dollars
hhsize: Household size
HHT: Household type (see below)
auto_ownership: number of cars owned by this household (0-6)
num_workers: number of workers in the household
sample_rate

Household types#

These are household types defined by the Census Bureau and used in ACS table B11001.

Code	Description
0	None
1	Married-couple family
2	Male householder, no spouse present
3	Female householder, no spouse present
4	Nonfamily household, male alone
5	Nonfamily household, male not alone
6	Nonfamily household, female alone
7	Nonfamily household, female not alone

Persons#

This table describes attributes of the persons that constitute each household. This file contains the following columns:

person_id: Unique integer identifier for each person. This value is globally unique, i.e. no two individuals have the same person ID, even if they are in different households.
household_id: Household identifier for this person, foreign key to households table
age: Age in years
PNUM: Person number in household, starting from 1.
sex: Sex, 1 = Male, 2 = Female
pemploy: Employment status (see below)
pstudent: Student status (see below)
ptype: Person type (see person type segmentation above)

Employment status#

Code	Description
1	Full-time worker
2	Part-time worker
3	Not in labor force
4	Student under 16

Student status#

Code	Description
1	Preschool through Grade 12 student
2	University/professional school student
3	Not a student

Land use#

All values are raw numbers and not proportions of the total.

TAZ: Zone which this row describes
DISTRICT: Superdistrict where this TAZ is (34 superdistricts in the Bay Area)
SD: Duplicate of DISTRICT
COUNTY: County within the Bay Area (see below)
TOTHH: Total households in TAZ
TOTPOP: Total population in TAZ
TOTACRE: Area of TAZ, acres
RESACRE: Residential area of TAZ, acres
CIACRE: Commercial/industrial area of TAZ, acres
TOTEMP: Total employment
AGE0519: Persons age 5 to 19 (inclusive)
RETEMPN: NAICS-based total retail employment
FPSEMPN: NAICS-based financial and professional services employment
HEREMPN: NAICS-based health, education, and recreational service employment
AGREMPN: NAICS-based agricultural and natural resources employment
MWTEMPN: NAICS-based manufacturing and wholesale trade employment
OTHEMP: NAICS-based other employment
PRKCST: Hourly cost paid by long-term (8+ hours) parkers, year 2000 cents
OPRKCST: Hourly cost paid by short term parkers, year 2000 cents
area_type: Area type designation (see below)
HSENROLL: High school students enrolled at schools in this TAZ
COLLFTE: College students enrolled full-time at colleges in this TAZ
COLLPTE: College students enrolled part-time at colleges in this TAZ
TERMINAL: Average time to travel from automobile storage location to origin/destination (floating-point minutes)

Counties#

Code	Name
1	San Francisco
2	San Mateo
3	Santa Clara
4	Alameda
5	Contra Costa
6	Solano
7	Napa
8	Sonoma
9	Marin

Area types#

Code	Description
0	Regional core
1	Central business district
2	Urban business
3	Urban
4	Suburban
5	Rural

Note

ActivitySim can optionally build an HDF5 file of the input CSV tables for use in subsequent runs since HDF5 is binary and therefore results in faster read times. see Configuration

OMX and HDF5 files can be viewed with the OMX Viewer or HDFView.

The other_resources\scripts\build_omx.py script will build one OMX file containing all the skims. The original MTC TM1 skims were converted for the prototype from Cube to OMX using the other_resources\scripts\mtc_tm1_omx_export.s script.

The prototype_mtc_sf inputs were created by the other_resources\scripts\create_sf_example.py script, which creates the land use, synthetic population, and skim inputs for a subset of user-defined zones.

Skims#

The injectables and omx_file for the example are listed below. The skims are float64 matrix.

Skims are named <PATH TYPE>_<MEASURE>__<TIME PERIOD>:

Highway paths:
- SOV - SOV free
- HOV2 - HOV2 free
- HOV3 - HOV3 free
- SOVTOLL - SOV toll
- HOV2TOLL - HOV2 toll
- HOV3TOLL - HOV3 toll
Transit paths:
- Walk access and walk egress - WLK_COM_WLK, WLK_EXP_WLK, WLK_HVY_WLK, WLK_LOC_WLK, WLK_LRF_WLK
- Walk access and drive egress - WLK_COM_DRV, WLK_EXP_DRV, WLK_HVY_DRV, WLK_LOC_DRV, WLK_LRF_DRV
- Drive access and walk egress - DRV_COM_WLK, DRV_EXP_WLK, DRV_HVY_WLK, DRV_LOC_WLK, DRV_LRF_WLK
- COM = commuter rail, EXP = express bus, HVY = heavy rail, LOC = local bus, LRF = light rail ferry
Non-motorized paths:
- WALK
- BIKE
Measures:
- TIME - Time (minutes)
- DIST - Distance (miles)
- BTOLL - Bridge toll (cents)
- VTOLL - Value toll (cents)
- IVT - In-vehicle time, time (minutes x 100)
- IWAIT - Initial wait time, time (minutes x 100)
- XWAIT - Transfer wait time, time (minutes x 100)
- WACC - Walk access time, time (minutes x 100)
- WAUX - Auxiliary walk time, time (minutes x 100)
- WEGR - Walk egress time, time (minutes x 100)
- DTIM - Drive access and/or egress time, time (minutes x 100)
- DDIST - Drive access and/or egress distance, distance (miles x 100)
- FAR - Fare, cents
- BOARDS - Boardings, number
- TOTIVT - Total in-vehicle time, time (minutes x 100)
- KEYIVT - Transit submode in-vehicle time, time (minutes x 100)
- FERRYIVT - Ferry in-vehicle time, time (minutes x 100)
Time periods:
- EA
- AM
- MD
- PM
- EV

Field	Type
SOV_TIME__AM	float64 matrix
SOV_DIST__AM	float64 matrix
SOV_BTOLL__AM	float64 matrix
HOV2_TIME__AM	float64 matrix
HOV2_DIST__AM	float64 matrix
HOV2_BTOLL__AM	float64 matrix
HOV3_TIME__AM	float64 matrix
HOV3_DIST__AM	float64 matrix
HOV3_BTOLL__AM	float64 matrix
SOVTOLL_TIME__AM	float64 matrix
SOVTOLL_DIST__AM	float64 matrix
SOVTOLL_BTOLL__AM	float64 matrix
SOVTOLL_VTOLL__AM	float64 matrix
HOV2TOLL_TIME__AM	float64 matrix
HOV2TOLL_DIST__AM	float64 matrix
HOV2TOLL_BTOLL__AM	float64 matrix
HOV2TOLL_VTOLL__AM	float64 matrix
HOV3TOLL_TIME__AM	float64 matrix
HOV3TOLL_DIST__AM	float64 matrix
HOV3TOLL_BTOLL__AM	float64 matrix
HOV3TOLL_VTOLL__AM	float64 matrix
SOV_TIME__EA	float64 matrix
SOV_DIST__EA	float64 matrix
SOV_BTOLL__EA	float64 matrix
HOV2_TIME__EA	float64 matrix
HOV2_DIST__EA	float64 matrix
HOV2_BTOLL__EA	float64 matrix
HOV3_TIME__EA	float64 matrix
HOV3_DIST__EA	float64 matrix
HOV3_BTOLL__EA	float64 matrix
SOVTOLL_TIME__EA	float64 matrix
SOVTOLL_DIST__EA	float64 matrix
SOVTOLL_BTOLL__EA	float64 matrix
SOVTOLL_VTOLL__EA	float64 matrix
HOV2TOLL_TIME__EA	float64 matrix
HOV2TOLL_DIST__EA	float64 matrix
HOV2TOLL_BTOLL__EA	float64 matrix
HOV2TOLL_VTOLL__EA	float64 matrix
HOV3TOLL_TIME__EA	float64 matrix
HOV3TOLL_DIST__EA	float64 matrix
HOV3TOLL_BTOLL__EA	float64 matrix
HOV3TOLL_VTOLL__EA	float64 matrix
SOV_TIME__EV	float64 matrix
SOV_DIST__EV	float64 matrix
SOV_BTOLL__EV	float64 matrix
HOV2_TIME__EV	float64 matrix
HOV2_DIST__EV	float64 matrix
HOV2_BTOLL__EV	float64 matrix
HOV3_TIME__EV	float64 matrix
HOV3_DIST__EV	float64 matrix
HOV3_BTOLL__EV	float64 matrix
SOVTOLL_TIME__EV	float64 matrix
SOVTOLL_DIST__EV	float64 matrix
SOVTOLL_BTOLL__EV	float64 matrix
SOVTOLL_VTOLL__EV	float64 matrix
HOV2TOLL_TIME__EV	float64 matrix
HOV2TOLL_DIST__EV	float64 matrix
HOV2TOLL_BTOLL__EV	float64 matrix
HOV2TOLL_VTOLL__EV	float64 matrix
HOV3TOLL_TIME__EV	float64 matrix
HOV3TOLL_DIST__EV	float64 matrix
HOV3TOLL_BTOLL__EV	float64 matrix
HOV3TOLL_VTOLL__EV	float64 matrix
SOV_TIME__MD	float64 matrix
SOV_DIST__MD	float64 matrix
SOV_BTOLL__MD	float64 matrix
HOV2_TIME__MD	float64 matrix
HOV2_DIST__MD	float64 matrix
HOV2_BTOLL__MD	float64 matrix
HOV3_TIME__MD	float64 matrix
HOV3_DIST__MD	float64 matrix
HOV3_BTOLL__MD	float64 matrix
SOVTOLL_TIME__MD	float64 matrix
SOVTOLL_DIST__MD	float64 matrix
SOVTOLL_BTOLL__MD	float64 matrix
SOVTOLL_VTOLL__MD	float64 matrix
HOV2TOLL_TIME__MD	float64 matrix
HOV2TOLL_DIST__MD	float64 matrix
HOV2TOLL_BTOLL__MD	float64 matrix
HOV2TOLL_VTOLL__MD	float64 matrix
HOV3TOLL_TIME__MD	float64 matrix
HOV3TOLL_DIST__MD	float64 matrix
HOV3TOLL_BTOLL__MD	float64 matrix
HOV3TOLL_VTOLL__MD	float64 matrix
SOV_TIME__PM	float64 matrix
SOV_DIST__PM	float64 matrix
SOV_BTOLL__PM	float64 matrix
HOV2_TIME__PM	float64 matrix
HOV2_DIST__PM	float64 matrix
HOV2_BTOLL__PM	float64 matrix
HOV3_TIME__PM	float64 matrix
HOV3_DIST__PM	float64 matrix
HOV3_BTOLL__PM	float64 matrix
SOVTOLL_TIME__PM	float64 matrix
SOVTOLL_DIST__PM	float64 matrix
SOVTOLL_BTOLL__PM	float64 matrix
SOVTOLL_VTOLL__PM	float64 matrix
HOV2TOLL_TIME__PM	float64 matrix
HOV2TOLL_DIST__PM	float64 matrix
HOV2TOLL_BTOLL__PM	float64 matrix
HOV2TOLL_VTOLL__PM	float64 matrix
HOV3TOLL_TIME__PM	float64 matrix
HOV3TOLL_DIST__PM	float64 matrix
HOV3TOLL_BTOLL__PM	float64 matrix
HOV3TOLL_VTOLL__PM	float64 matrix
DIST	float64 matrix
DISTWALK	float64 matrix
DISTBIKE	float64 matrix
DRV_COM_WLK_WAIT__AM	float64 matrix
DRV_COM_WLK_TOTIVT__AM	float64 matrix
DRV_COM_WLK_KEYIVT__AM	float64 matrix
DRV_COM_WLK_FAR__AM	float64 matrix
DRV_COM_WLK_DTIM__AM	float64 matrix
DRV_COM_WLK_DDIST__AM	float64 matrix
DRV_COM_WLK_WAUX__AM	float64 matrix
DRV_COM_WLK_IWAIT__AM	float64 matrix
DRV_COM_WLK_XWAIT__AM	float64 matrix
DRV_COM_WLK_BOARDS__AM	float64 matrix
DRV_EXP_WLK_WAIT__AM	float64 matrix
DRV_EXP_WLK_TOTIVT__AM	float64 matrix
DRV_EXP_WLK_KEYIVT__AM	float64 matrix
DRV_EXP_WLK_FAR__AM	float64 matrix
DRV_EXP_WLK_DTIM__AM	float64 matrix
DRV_EXP_WLK_WAUX__AM	float64 matrix
DRV_EXP_WLK_IWAIT__AM	float64 matrix
DRV_EXP_WLK_XWAIT__AM	float64 matrix
DRV_EXP_WLK_BOARDS__AM	float64 matrix
DRV_EXP_WLK_DDIST__AM	float64 matrix
DRV_HVY_WLK_WAIT__AM	float64 matrix
DRV_HVY_WLK_TOTIVT__AM	float64 matrix
DRV_HVY_WLK_KEYIVT__AM	float64 matrix
DRV_HVY_WLK_FAR__AM	float64 matrix
DRV_HVY_WLK_DTIM__AM	float64 matrix
DRV_HVY_WLK_DDIST__AM	float64 matrix
DRV_HVY_WLK_WAUX__AM	float64 matrix
DRV_HVY_WLK_IWAIT__AM	float64 matrix
DRV_HVY_WLK_XWAIT__AM	float64 matrix
DRV_HVY_WLK_BOARDS__AM	float64 matrix
DRV_LOC_WLK_WAIT__AM	float64 matrix
DRV_LOC_WLK_TOTIVT__AM	float64 matrix
DRV_LOC_WLK_FAR__AM	float64 matrix
DRV_LOC_WLK_DTIM__AM	float64 matrix
DRV_LOC_WLK_DDIST__AM	float64 matrix
DRV_LOC_WLK_WAUX__AM	float64 matrix
DRV_LOC_WLK_IWAIT__AM	float64 matrix
DRV_LOC_WLK_XWAIT__AM	float64 matrix
DRV_LOC_WLK_BOARDS__AM	float64 matrix
DRV_LRF_WLK_WAIT__AM	float64 matrix
DRV_LRF_WLK_TOTIVT__AM	float64 matrix
DRV_LRF_WLK_KEYIVT__AM	float64 matrix
DRV_LRF_WLK_FERRYIVT__AM	float64 matrix
DRV_LRF_WLK_FAR__AM	float64 matrix
DRV_LRF_WLK_DTIM__AM	float64 matrix
DRV_LRF_WLK_DDIST__AM	float64 matrix
DRV_LRF_WLK_WAUX__AM	float64 matrix
DRV_LRF_WLK_IWAIT__AM	float64 matrix
DRV_LRF_WLK_XWAIT__AM	float64 matrix
DRV_LRF_WLK_BOARDS__AM	float64 matrix
WLK_COM_DRV_WAIT__AM	float64 matrix
WLK_COM_DRV_TOTIVT__AM	float64 matrix
WLK_COM_DRV_KEYIVT__AM	float64 matrix
WLK_COM_DRV_FAR__AM	float64 matrix
WLK_COM_DRV_DTIM__AM	float64 matrix
WLK_COM_DRV_DDIST__AM	float64 matrix
WLK_COM_DRV_WAUX__AM	float64 matrix
WLK_COM_DRV_IWAIT__AM	float64 matrix
WLK_COM_DRV_XWAIT__AM	float64 matrix
WLK_COM_DRV_BOARDS__AM	float64 matrix
WLK_COM_WLK_WAIT__AM	float64 matrix
WLK_COM_WLK_TOTIVT__AM	float64 matrix
WLK_COM_WLK_KEYIVT__AM	float64 matrix
WLK_COM_WLK_FAR__AM	float64 matrix
WLK_COM_WLK_WAUX__AM	float64 matrix
WLK_COM_WLK_IWAIT__AM	float64 matrix
WLK_COM_WLK_XWAIT__AM	float64 matrix
WLK_COM_WLK_BOARDS__AM	float64 matrix
WLK_EXP_DRV_WAIT__AM	float64 matrix
WLK_EXP_DRV_TOTIVT__AM	float64 matrix
WLK_EXP_DRV_KEYIVT__AM	float64 matrix
WLK_EXP_DRV_FAR__AM	float64 matrix
WLK_EXP_DRV_DTIM__AM	float64 matrix
WLK_EXP_DRV_WAUX__AM	float64 matrix
WLK_EXP_DRV_IWAIT__AM	float64 matrix
WLK_EXP_DRV_XWAIT__AM	float64 matrix
WLK_EXP_DRV_BOARDS__AM	float64 matrix
WLK_EXP_DRV_DDIST__AM	float64 matrix
WLK_EXP_WLK_WAIT__AM	float64 matrix
WLK_EXP_WLK_TOTIVT__AM	float64 matrix
WLK_EXP_WLK_KEYIVT__AM	float64 matrix
WLK_EXP_WLK_FAR__AM	float64 matrix
WLK_EXP_WLK_WAUX__AM	float64 matrix
WLK_EXP_WLK_IWAIT__AM	float64 matrix
WLK_EXP_WLK_XWAIT__AM	float64 matrix
WLK_EXP_WLK_BOARDS__AM	float64 matrix
WLK_HVY_DRV_WAIT__AM	float64 matrix
WLK_HVY_DRV_TOTIVT__AM	float64 matrix
WLK_HVY_DRV_KEYIVT__AM	float64 matrix
WLK_HVY_DRV_FAR__AM	float64 matrix
WLK_HVY_DRV_DTIM__AM	float64 matrix
WLK_HVY_DRV_DDIST__AM	float64 matrix
WLK_HVY_DRV_WAUX__AM	float64 matrix
WLK_HVY_DRV_IWAIT__AM	float64 matrix
WLK_HVY_DRV_XWAIT__AM	float64 matrix
WLK_HVY_DRV_BOARDS__AM	float64 matrix
WLK_HVY_WLK_WAIT__AM	float64 matrix
WLK_HVY_WLK_TOTIVT__AM	float64 matrix
WLK_HVY_WLK_KEYIVT__AM	float64 matrix
WLK_HVY_WLK_FAR__AM	float64 matrix
WLK_HVY_WLK_WAUX__AM	float64 matrix
WLK_HVY_WLK_IWAIT__AM	float64 matrix
WLK_HVY_WLK_XWAIT__AM	float64 matrix
WLK_HVY_WLK_BOARDS__AM	float64 matrix
WLK_LOC_DRV_WAIT__AM	float64 matrix
WLK_LOC_DRV_TOTIVT__AM	float64 matrix
WLK_LOC_DRV_FAR__AM	float64 matrix
WLK_LOC_DRV_DTIM__AM	float64 matrix
WLK_LOC_DRV_DDIST__AM	float64 matrix
WLK_LOC_DRV_WAUX__AM	float64 matrix
WLK_LOC_DRV_IWAIT__AM	float64 matrix
WLK_LOC_DRV_XWAIT__AM	float64 matrix
WLK_LOC_DRV_BOARDS__AM	float64 matrix
WLK_LOC_WLK_WAIT__AM	float64 matrix
WLK_LOC_WLK_TOTIVT__AM	float64 matrix
WLK_LOC_WLK_FAR__AM	float64 matrix
WLK_LOC_WLK_WAUX__AM	float64 matrix
WLK_LOC_WLK_IWAIT__AM	float64 matrix
WLK_LOC_WLK_XWAIT__AM	float64 matrix
WLK_LOC_WLK_BOARDS__AM	float64 matrix
WLK_LRF_DRV_WAIT__AM	float64 matrix
WLK_LRF_DRV_TOTIVT__AM	float64 matrix
WLK_LRF_DRV_KEYIVT__AM	float64 matrix
WLK_LRF_DRV_FERRYIVT__AM	float64 matrix
WLK_LRF_DRV_FAR__AM	float64 matrix
WLK_LRF_DRV_DTIM__AM	float64 matrix
WLK_LRF_DRV_DDIST__AM	float64 matrix
WLK_LRF_DRV_WAUX__AM	float64 matrix
WLK_LRF_DRV_IWAIT__AM	float64 matrix
WLK_LRF_DRV_XWAIT__AM	float64 matrix
WLK_LRF_DRV_BOARDS__AM	float64 matrix
WLK_LRF_WLK_WAIT__AM	float64 matrix
WLK_LRF_WLK_TOTIVT__AM	float64 matrix
WLK_LRF_WLK_KEYIVT__AM	float64 matrix
WLK_LRF_WLK_FERRYIVT__AM	float64 matrix
WLK_LRF_WLK_FAR__AM	float64 matrix
WLK_LRF_WLK_WAUX__AM	float64 matrix
WLK_LRF_WLK_IWAIT__AM	float64 matrix
WLK_LRF_WLK_XWAIT__AM	float64 matrix
WLK_LRF_WLK_BOARDS__AM	float64 matrix
DRV_COM_WLK_WAIT__EA	float64 matrix
DRV_COM_WLK_TOTIVT__EA	float64 matrix
DRV_COM_WLK_KEYIVT__EA	float64 matrix
DRV_COM_WLK_FAR__EA	float64 matrix
DRV_COM_WLK_DTIM__EA	float64 matrix
DRV_COM_WLK_DDIST__EA	float64 matrix
DRV_COM_WLK_WAUX__EA	float64 matrix
DRV_COM_WLK_IWAIT__EA	float64 matrix
DRV_COM_WLK_XWAIT__EA	float64 matrix
DRV_COM_WLK_BOARDS__EA	float64 matrix
DRV_EXP_WLK_WAIT__EA	float64 matrix
DRV_EXP_WLK_TOTIVT__EA	float64 matrix
DRV_EXP_WLK_KEYIVT__EA	float64 matrix
DRV_EXP_WLK_FAR__EA	float64 matrix
DRV_EXP_WLK_DTIM__EA	float64 matrix
DRV_EXP_WLK_WAUX__EA	float64 matrix
DRV_EXP_WLK_IWAIT__EA	float64 matrix
DRV_EXP_WLK_XWAIT__EA	float64 matrix
DRV_EXP_WLK_BOARDS__EA	float64 matrix
DRV_EXP_WLK_DDIST__EA	float64 matrix
DRV_HVY_WLK_WAIT__EA	float64 matrix
DRV_HVY_WLK_TOTIVT__EA	float64 matrix
DRV_HVY_WLK_KEYIVT__EA	float64 matrix
DRV_HVY_WLK_FAR__EA	float64 matrix
DRV_HVY_WLK_DTIM__EA	float64 matrix
DRV_HVY_WLK_DDIST__EA	float64 matrix
DRV_HVY_WLK_WAUX__EA	float64 matrix
DRV_HVY_WLK_IWAIT__EA	float64 matrix
DRV_HVY_WLK_XWAIT__EA	float64 matrix
DRV_HVY_WLK_BOARDS__EA	float64 matrix
DRV_LOC_WLK_WAIT__EA	float64 matrix
DRV_LOC_WLK_TOTIVT__EA	float64 matrix
DRV_LOC_WLK_FAR__EA	float64 matrix
DRV_LOC_WLK_DTIM__EA	float64 matrix
DRV_LOC_WLK_DDIST__EA	float64 matrix
DRV_LOC_WLK_WAUX__EA	float64 matrix
DRV_LOC_WLK_IWAIT__EA	float64 matrix
DRV_LOC_WLK_XWAIT__EA	float64 matrix
DRV_LOC_WLK_BOARDS__EA	float64 matrix
DRV_LRF_WLK_WAIT__EA	float64 matrix
DRV_LRF_WLK_TOTIVT__EA	float64 matrix
DRV_LRF_WLK_KEYIVT__EA	float64 matrix
DRV_LRF_WLK_FERRYIVT__EA	float64 matrix
DRV_LRF_WLK_FAR__EA	float64 matrix
DRV_LRF_WLK_DTIM__EA	float64 matrix
DRV_LRF_WLK_DDIST__EA	float64 matrix
DRV_LRF_WLK_WAUX__EA	float64 matrix
DRV_LRF_WLK_IWAIT__EA	float64 matrix
DRV_LRF_WLK_XWAIT__EA	float64 matrix
DRV_LRF_WLK_BOARDS__EA	float64 matrix
WLK_COM_DRV_WAIT__EA	float64 matrix
WLK_COM_DRV_TOTIVT__EA	float64 matrix
WLK_COM_DRV_KEYIVT__EA	float64 matrix
WLK_COM_DRV_FAR__EA	float64 matrix
WLK_COM_DRV_DTIM__EA	float64 matrix
WLK_COM_DRV_DDIST__EA	float64 matrix
WLK_COM_DRV_WAUX__EA	float64 matrix
WLK_COM_DRV_IWAIT__EA	float64 matrix
WLK_COM_DRV_XWAIT__EA	float64 matrix
WLK_COM_DRV_BOARDS__EA	float64 matrix
WLK_COM_WLK_WAIT__EA	float64 matrix
WLK_COM_WLK_TOTIVT__EA	float64 matrix
WLK_COM_WLK_KEYIVT__EA	float64 matrix
WLK_COM_WLK_FAR__EA	float64 matrix
WLK_COM_WLK_WAUX__EA	float64 matrix
WLK_COM_WLK_IWAIT__EA	float64 matrix
WLK_COM_WLK_XWAIT__EA	float64 matrix
WLK_COM_WLK_BOARDS__EA	float64 matrix
WLK_EXP_DRV_WAIT__EA	float64 matrix
WLK_EXP_DRV_TOTIVT__EA	float64 matrix
WLK_EXP_DRV_KEYIVT__EA	float64 matrix
WLK_EXP_DRV_FAR__EA	float64 matrix
WLK_EXP_DRV_DTIM__EA	float64 matrix
WLK_EXP_DRV_DDIST__EA	float64 matrix
WLK_EXP_DRV_WAUX__EA	float64 matrix
WLK_EXP_DRV_IWAIT__EA	float64 matrix
WLK_EXP_DRV_XWAIT__EA	float64 matrix
WLK_EXP_DRV_BOARDS__EA	float64 matrix
WLK_EXP_WLK_WAIT__EA	float64 matrix
WLK_EXP_WLK_TOTIVT__EA	float64 matrix
WLK_EXP_WLK_KEYIVT__EA	float64 matrix
WLK_EXP_WLK_FAR__EA	float64 matrix
WLK_EXP_WLK_WAUX__EA	float64 matrix
WLK_EXP_WLK_IWAIT__EA	float64 matrix
WLK_EXP_WLK_XWAIT__EA	float64 matrix
WLK_EXP_WLK_BOARDS__EA	float64 matrix
WLK_HVY_DRV_WAIT__EA	float64 matrix
WLK_HVY_DRV_TOTIVT__EA	float64 matrix
WLK_HVY_DRV_KEYIVT__EA	float64 matrix
WLK_HVY_DRV_FAR__EA	float64 matrix
WLK_HVY_DRV_DTIM__EA	float64 matrix
WLK_HVY_DRV_DDIST__EA	float64 matrix
WLK_HVY_DRV_WAUX__EA	float64 matrix
WLK_HVY_DRV_IWAIT__EA	float64 matrix
WLK_HVY_DRV_XWAIT__EA	float64 matrix
WLK_HVY_DRV_BOARDS__EA	float64 matrix
WLK_HVY_WLK_WAIT__EA	float64 matrix
WLK_HVY_WLK_TOTIVT__EA	float64 matrix
WLK_HVY_WLK_KEYIVT__EA	float64 matrix
WLK_HVY_WLK_FAR__EA	float64 matrix
WLK_HVY_WLK_WAUX__EA	float64 matrix
WLK_HVY_WLK_IWAIT__EA	float64 matrix
WLK_HVY_WLK_XWAIT__EA	float64 matrix
WLK_HVY_WLK_BOARDS__EA	float64 matrix
WLK_LOC_DRV_WAIT__EA	float64 matrix
WLK_LOC_DRV_TOTIVT__EA	float64 matrix
WLK_LOC_DRV_FAR__EA	float64 matrix
WLK_LOC_DRV_DTIM__EA	float64 matrix
WLK_LOC_DRV_DDIST__EA	float64 matrix
WLK_LOC_DRV_WAUX__EA	float64 matrix
WLK_LOC_DRV_IWAIT__EA	float64 matrix
WLK_LOC_DRV_XWAIT__EA	float64 matrix
WLK_LOC_DRV_BOARDS__EA	float64 matrix
WLK_LOC_WLK_WAIT__EA	float64 matrix
WLK_LOC_WLK_TOTIVT__EA	float64 matrix
WLK_LOC_WLK_FAR__EA	float64 matrix
WLK_LOC_WLK_WAUX__EA	float64 matrix
WLK_LOC_WLK_IWAIT__EA	float64 matrix
WLK_LOC_WLK_XWAIT__EA	float64 matrix
WLK_LOC_WLK_BOARDS__EA	float64 matrix
WLK_LRF_DRV_WAIT__EA	float64 matrix
WLK_LRF_DRV_TOTIVT__EA	float64 matrix
WLK_LRF_DRV_KEYIVT__EA	float64 matrix
WLK_LRF_DRV_FERRYIVT__EA	float64 matrix
WLK_LRF_DRV_FAR__EA	float64 matrix
WLK_LRF_DRV_DTIM__EA	float64 matrix
WLK_LRF_DRV_DDIST__EA	float64 matrix
WLK_LRF_DRV_WAUX__EA	float64 matrix
WLK_LRF_DRV_IWAIT__EA	float64 matrix
WLK_LRF_DRV_XWAIT__EA	float64 matrix
WLK_LRF_DRV_BOARDS__EA	float64 matrix
WLK_LRF_WLK_WAIT__EA	float64 matrix
WLK_LRF_WLK_TOTIVT__EA	float64 matrix
WLK_LRF_WLK_KEYIVT__EA	float64 matrix
WLK_LRF_WLK_FERRYIVT__EA	float64 matrix
WLK_LRF_WLK_FAR__EA	float64 matrix
WLK_LRF_WLK_WAUX__EA	float64 matrix
WLK_LRF_WLK_IWAIT__EA	float64 matrix
WLK_LRF_WLK_XWAIT__EA	float64 matrix
WLK_LRF_WLK_BOARDS__EA	float64 matrix
DRV_COM_WLK_WAIT__EV	float64 matrix
DRV_COM_WLK_TOTIVT__EV	float64 matrix
DRV_COM_WLK_KEYIVT__EV	float64 matrix
DRV_COM_WLK_FAR__EV	float64 matrix
DRV_COM_WLK_DTIM__EV	float64 matrix
DRV_COM_WLK_DDIST__EV	float64 matrix
DRV_COM_WLK_WAUX__EV	float64 matrix
DRV_COM_WLK_IWAIT__EV	float64 matrix
DRV_COM_WLK_XWAIT__EV	float64 matrix
DRV_COM_WLK_BOARDS__EV	float64 matrix
DRV_EXP_WLK_WAIT__EV	float64 matrix
DRV_EXP_WLK_TOTIVT__EV	float64 matrix
DRV_EXP_WLK_KEYIVT__EV	float64 matrix
DRV_EXP_WLK_FAR__EV	float64 matrix
DRV_EXP_WLK_DTIM__EV	float64 matrix
DRV_EXP_WLK_WAUX__EV	float64 matrix
DRV_EXP_WLK_IWAIT__EV	float64 matrix
DRV_EXP_WLK_XWAIT__EV	float64 matrix
DRV_EXP_WLK_BOARDS__EV	float64 matrix
DRV_EXP_WLK_DDIST__EV	float64 matrix
DRV_HVY_WLK_WAIT__EV	float64 matrix
DRV_HVY_WLK_TOTIVT__EV	float64 matrix
DRV_HVY_WLK_KEYIVT__EV	float64 matrix
DRV_HVY_WLK_FAR__EV	float64 matrix
DRV_HVY_WLK_DTIM__EV	float64 matrix
DRV_HVY_WLK_DDIST__EV	float64 matrix
DRV_HVY_WLK_WAUX__EV	float64 matrix
DRV_HVY_WLK_IWAIT__EV	float64 matrix
DRV_HVY_WLK_XWAIT__EV	float64 matrix
DRV_HVY_WLK_BOARDS__EV	float64 matrix
DRV_LOC_WLK_WAIT__EV	float64 matrix
DRV_LOC_WLK_TOTIVT__EV	float64 matrix
DRV_LOC_WLK_FAR__EV	float64 matrix
DRV_LOC_WLK_DTIM__EV	float64 matrix
DRV_LOC_WLK_DDIST__EV	float64 matrix
DRV_LOC_WLK_WAUX__EV	float64 matrix
DRV_LOC_WLK_IWAIT__EV	float64 matrix
DRV_LOC_WLK_XWAIT__EV	float64 matrix
DRV_LOC_WLK_BOARDS__EV	float64 matrix
DRV_LRF_WLK_WAIT__EV	float64 matrix
DRV_LRF_WLK_TOTIVT__EV	float64 matrix
DRV_LRF_WLK_KEYIVT__EV	float64 matrix
DRV_LRF_WLK_FERRYIVT__EV	float64 matrix
DRV_LRF_WLK_FAR__EV	float64 matrix
DRV_LRF_WLK_DTIM__EV	float64 matrix
DRV_LRF_WLK_DDIST__EV	float64 matrix
DRV_LRF_WLK_WAUX__EV	float64 matrix
DRV_LRF_WLK_IWAIT__EV	float64 matrix
DRV_LRF_WLK_XWAIT__EV	float64 matrix
DRV_LRF_WLK_BOARDS__EV	float64 matrix
WLK_COM_DRV_WAIT__EV	float64 matrix
WLK_COM_DRV_TOTIVT__EV	float64 matrix
WLK_COM_DRV_KEYIVT__EV	float64 matrix
WLK_COM_DRV_FAR__EV	float64 matrix
WLK_COM_DRV_DTIM__EV	float64 matrix
WLK_COM_DRV_DDIST__EV	float64 matrix
WLK_COM_DRV_WAUX__EV	float64 matrix
WLK_COM_DRV_IWAIT__EV	float64 matrix
WLK_COM_DRV_XWAIT__EV	float64 matrix
WLK_COM_DRV_BOARDS__EV	float64 matrix
WLK_COM_WLK_WAIT__EV	float64 matrix
WLK_COM_WLK_TOTIVT__EV	float64 matrix
WLK_COM_WLK_KEYIVT__EV	float64 matrix
WLK_COM_WLK_FAR__EV	float64 matrix
WLK_COM_WLK_WAUX__EV	float64 matrix
WLK_COM_WLK_IWAIT__EV	float64 matrix
WLK_COM_WLK_XWAIT__EV	float64 matrix
WLK_COM_WLK_BOARDS__EV	float64 matrix
WLK_EXP_DRV_WAIT__EV	float64 matrix
WLK_EXP_DRV_TOTIVT__EV	float64 matrix
WLK_EXP_DRV_KEYIVT__EV	float64 matrix
WLK_EXP_DRV_FAR__EV	float64 matrix
WLK_EXP_DRV_DTIM__EV	float64 matrix
WLK_EXP_DRV_WAUX__EV	float64 matrix
WLK_EXP_DRV_IWAIT__EV	float64 matrix
WLK_EXP_DRV_XWAIT__EV	float64 matrix
WLK_EXP_DRV_BOARDS__EV	float64 matrix
WLK_EXP_DRV_DDIST__EV	float64 matrix
WLK_EXP_WLK_WAIT__EV	float64 matrix
WLK_EXP_WLK_TOTIVT__EV	float64 matrix
WLK_EXP_WLK_KEYIVT__EV	float64 matrix
WLK_EXP_WLK_FAR__EV	float64 matrix
WLK_EXP_WLK_WAUX__EV	float64 matrix
WLK_EXP_WLK_IWAIT__EV	float64 matrix
WLK_EXP_WLK_XWAIT__EV	float64 matrix
WLK_EXP_WLK_BOARDS__EV	float64 matrix
WLK_HVY_DRV_WAIT__EV	float64 matrix
WLK_HVY_DRV_TOTIVT__EV	float64 matrix
WLK_HVY_DRV_KEYIVT__EV	float64 matrix
WLK_HVY_DRV_FAR__EV	float64 matrix
WLK_HVY_DRV_DTIM__EV	float64 matrix
WLK_HVY_DRV_DDIST__EV	float64 matrix
WLK_HVY_DRV_WAUX__EV	float64 matrix
WLK_HVY_DRV_IWAIT__EV	float64 matrix
WLK_HVY_DRV_XWAIT__EV	float64 matrix
WLK_HVY_DRV_BOARDS__EV	float64 matrix
WLK_HVY_WLK_WAIT__EV	float64 matrix
WLK_HVY_WLK_TOTIVT__EV	float64 matrix
WLK_HVY_WLK_KEYIVT__EV	float64 matrix
WLK_HVY_WLK_FAR__EV	float64 matrix
WLK_HVY_WLK_WAUX__EV	float64 matrix
WLK_HVY_WLK_IWAIT__EV	float64 matrix
WLK_HVY_WLK_XWAIT__EV	float64 matrix
WLK_HVY_WLK_BOARDS__EV	float64 matrix
WLK_LOC_DRV_WAIT__EV	float64 matrix
WLK_LOC_DRV_TOTIVT__EV	float64 matrix
WLK_LOC_DRV_FAR__EV	float64 matrix
WLK_LOC_DRV_DTIM__EV	float64 matrix
WLK_LOC_DRV_DDIST__EV	float64 matrix
WLK_LOC_DRV_WAUX__EV	float64 matrix
WLK_LOC_DRV_IWAIT__EV	float64 matrix
WLK_LOC_DRV_XWAIT__EV	float64 matrix
WLK_LOC_DRV_BOARDS__EV	float64 matrix
WLK_LOC_WLK_WAIT__EV	float64 matrix
WLK_LOC_WLK_TOTIVT__EV	float64 matrix
WLK_LOC_WLK_FAR__EV	float64 matrix
WLK_LOC_WLK_WAUX__EV	float64 matrix
WLK_LOC_WLK_IWAIT__EV	float64 matrix
WLK_LOC_WLK_XWAIT__EV	float64 matrix
WLK_LOC_WLK_BOARDS__EV	float64 matrix
WLK_LRF_DRV_WAIT__EV	float64 matrix
WLK_LRF_DRV_TOTIVT__EV	float64 matrix
WLK_LRF_DRV_KEYIVT__EV	float64 matrix
WLK_LRF_DRV_FERRYIVT__EV	float64 matrix
WLK_LRF_DRV_FAR__EV	float64 matrix
WLK_LRF_DRV_DTIM__EV	float64 matrix
WLK_LRF_DRV_DDIST__EV	float64 matrix
WLK_LRF_DRV_WAUX__EV	float64 matrix
WLK_LRF_DRV_IWAIT__EV	float64 matrix
WLK_LRF_DRV_XWAIT__EV	float64 matrix
WLK_LRF_DRV_BOARDS__EV	float64 matrix
WLK_LRF_WLK_WAIT__EV	float64 matrix
WLK_LRF_WLK_TOTIVT__EV	float64 matrix
WLK_LRF_WLK_KEYIVT__EV	float64 matrix
WLK_LRF_WLK_FERRYIVT__EV	float64 matrix
WLK_LRF_WLK_FAR__EV	float64 matrix
WLK_LRF_WLK_WAUX__EV	float64 matrix
WLK_LRF_WLK_IWAIT__EV	float64 matrix
WLK_LRF_WLK_XWAIT__EV	float64 matrix
WLK_LRF_WLK_BOARDS__EV	float64 matrix
DRV_COM_WLK_WAIT__MD	float64 matrix
DRV_COM_WLK_TOTIVT__MD	float64 matrix
DRV_COM_WLK_KEYIVT__MD	float64 matrix
DRV_COM_WLK_FAR__MD	float64 matrix
DRV_COM_WLK_DTIM__MD	float64 matrix
DRV_COM_WLK_DDIST__MD	float64 matrix
DRV_COM_WLK_WAUX__MD	float64 matrix
DRV_COM_WLK_IWAIT__MD	float64 matrix
DRV_COM_WLK_XWAIT__MD	float64 matrix
DRV_COM_WLK_BOARDS__MD	float64 matrix
DRV_EXP_WLK_WAIT__MD	float64 matrix
DRV_EXP_WLK_TOTIVT__MD	float64 matrix
DRV_EXP_WLK_KEYIVT__MD	float64 matrix
DRV_EXP_WLK_FAR__MD	float64 matrix
DRV_EXP_WLK_DTIM__MD	float64 matrix
DRV_EXP_WLK_WAUX__MD	float64 matrix
DRV_EXP_WLK_IWAIT__MD	float64 matrix
DRV_EXP_WLK_XWAIT__MD	float64 matrix
DRV_EXP_WLK_BOARDS__MD	float64 matrix
DRV_EXP_WLK_DDIST__MD	float64 matrix
DRV_HVY_WLK_WAIT__MD	float64 matrix
DRV_HVY_WLK_TOTIVT__MD	float64 matrix
DRV_HVY_WLK_KEYIVT__MD	float64 matrix
DRV_HVY_WLK_FAR__MD	float64 matrix
DRV_HVY_WLK_DTIM__MD	float64 matrix
DRV_HVY_WLK_DDIST__MD	float64 matrix
DRV_HVY_WLK_WAUX__MD	float64 matrix
DRV_HVY_WLK_IWAIT__MD	float64 matrix
DRV_HVY_WLK_XWAIT__MD	float64 matrix
DRV_HVY_WLK_BOARDS__MD	float64 matrix
DRV_LOC_WLK_WAIT__MD	float64 matrix
DRV_LOC_WLK_TOTIVT__MD	float64 matrix
DRV_LOC_WLK_FAR__MD	float64 matrix
DRV_LOC_WLK_DTIM__MD	float64 matrix
DRV_LOC_WLK_DDIST__MD	float64 matrix
DRV_LOC_WLK_WAUX__MD	float64 matrix
DRV_LOC_WLK_IWAIT__MD	float64 matrix
DRV_LOC_WLK_XWAIT__MD	float64 matrix
DRV_LOC_WLK_BOARDS__MD	float64 matrix
DRV_LRF_WLK_WAIT__MD	float64 matrix
DRV_LRF_WLK_TOTIVT__MD	float64 matrix
DRV_LRF_WLK_KEYIVT__MD	float64 matrix
DRV_LRF_WLK_FERRYIVT__MD	float64 matrix
DRV_LRF_WLK_FAR__MD	float64 matrix
DRV_LRF_WLK_DTIM__MD	float64 matrix
DRV_LRF_WLK_DDIST__MD	float64 matrix
DRV_LRF_WLK_WAUX__MD	float64 matrix
DRV_LRF_WLK_IWAIT__MD	float64 matrix
DRV_LRF_WLK_XWAIT__MD	float64 matrix
DRV_LRF_WLK_BOARDS__MD	float64 matrix
WLK_COM_DRV_WAIT__MD	float64 matrix
WLK_COM_DRV_TOTIVT__MD	float64 matrix
WLK_COM_DRV_KEYIVT__MD	float64 matrix
WLK_COM_DRV_FAR__MD	float64 matrix
WLK_COM_DRV_DTIM__MD	float64 matrix
WLK_COM_DRV_DDIST__MD	float64 matrix
WLK_COM_DRV_WAUX__MD	float64 matrix
WLK_COM_DRV_IWAIT__MD	float64 matrix
WLK_COM_DRV_XWAIT__MD	float64 matrix
WLK_COM_DRV_BOARDS__MD	float64 matrix
WLK_COM_WLK_WAIT__MD	float64 matrix
WLK_COM_WLK_TOTIVT__MD	float64 matrix
WLK_COM_WLK_KEYIVT__MD	float64 matrix
WLK_COM_WLK_FAR__MD	float64 matrix
WLK_COM_WLK_WAUX__MD	float64 matrix
WLK_COM_WLK_IWAIT__MD	float64 matrix
WLK_COM_WLK_XWAIT__MD	float64 matrix
WLK_COM_WLK_BOARDS__MD	float64 matrix
WLK_EXP_DRV_WAIT__MD	float64 matrix
WLK_EXP_DRV_TOTIVT__MD	float64 matrix
WLK_EXP_DRV_KEYIVT__MD	float64 matrix
WLK_EXP_DRV_FAR__MD	float64 matrix
WLK_EXP_DRV_DTIM__MD	float64 matrix
WLK_EXP_DRV_WAUX__MD	float64 matrix
WLK_EXP_DRV_IWAIT__MD	float64 matrix
WLK_EXP_DRV_XWAIT__MD	float64 matrix
WLK_EXP_DRV_BOARDS__MD	float64 matrix
WLK_EXP_DRV_DDIST__MD	float64 matrix
WLK_EXP_WLK_WAIT__MD	float64 matrix
WLK_EXP_WLK_TOTIVT__MD	float64 matrix
WLK_EXP_WLK_KEYIVT__MD	float64 matrix
WLK_EXP_WLK_FAR__MD	float64 matrix
WLK_EXP_WLK_WAUX__MD	float64 matrix
WLK_EXP_WLK_IWAIT__MD	float64 matrix
WLK_EXP_WLK_XWAIT__MD	float64 matrix
WLK_EXP_WLK_BOARDS__MD	float64 matrix
WLK_HVY_DRV_WAIT__MD	float64 matrix
WLK_HVY_DRV_TOTIVT__MD	float64 matrix
WLK_HVY_DRV_KEYIVT__MD	float64 matrix
WLK_HVY_DRV_FAR__MD	float64 matrix
WLK_HVY_DRV_DTIM__MD	float64 matrix
WLK_HVY_DRV_DDIST__MD	float64 matrix
WLK_HVY_DRV_WAUX__MD	float64 matrix
WLK_HVY_DRV_IWAIT__MD	float64 matrix
WLK_HVY_DRV_XWAIT__MD	float64 matrix
WLK_HVY_DRV_BOARDS__MD	float64 matrix
WLK_HVY_WLK_WAIT__MD	float64 matrix
WLK_HVY_WLK_TOTIVT__MD	float64 matrix
WLK_HVY_WLK_KEYIVT__MD	float64 matrix
WLK_HVY_WLK_FAR__MD	float64 matrix
WLK_HVY_WLK_WAUX__MD	float64 matrix
WLK_HVY_WLK_IWAIT__MD	float64 matrix
WLK_HVY_WLK_XWAIT__MD	float64 matrix
WLK_HVY_WLK_BOARDS__MD	float64 matrix
WLK_LOC_DRV_WAIT__MD	float64 matrix
WLK_LOC_DRV_TOTIVT__MD	float64 matrix
WLK_LOC_DRV_FAR__MD	float64 matrix
WLK_LOC_DRV_DTIM__MD	float64 matrix
WLK_LOC_DRV_DDIST__MD	float64 matrix
WLK_LOC_DRV_WAUX__MD	float64 matrix
WLK_LOC_DRV_IWAIT__MD	float64 matrix
WLK_LOC_DRV_XWAIT__MD	float64 matrix
WLK_LOC_DRV_BOARDS__MD	float64 matrix
WLK_LOC_WLK_WAIT__MD	float64 matrix
WLK_LOC_WLK_TOTIVT__MD	float64 matrix
WLK_LOC_WLK_FAR__MD	float64 matrix
WLK_LOC_WLK_WAUX__MD	float64 matrix
WLK_LOC_WLK_IWAIT__MD	float64 matrix
WLK_LOC_WLK_XWAIT__MD	float64 matrix
WLK_LOC_WLK_BOARDS__MD	float64 matrix
WLK_LRF_DRV_WAIT__MD	float64 matrix
WLK_LRF_DRV_TOTIVT__MD	float64 matrix
WLK_LRF_DRV_KEYIVT__MD	float64 matrix
WLK_LRF_DRV_FERRYIVT__MD	float64 matrix
WLK_LRF_DRV_FAR__MD	float64 matrix
WLK_LRF_DRV_DTIM__MD	float64 matrix
WLK_LRF_DRV_DDIST__MD	float64 matrix
WLK_LRF_DRV_WAUX__MD	float64 matrix
WLK_LRF_DRV_IWAIT__MD	float64 matrix
WLK_LRF_DRV_XWAIT__MD	float64 matrix
WLK_LRF_DRV_BOARDS__MD	float64 matrix
WLK_LRF_WLK_WAIT__MD	float64 matrix
WLK_LRF_WLK_TOTIVT__MD	float64 matrix
WLK_LRF_WLK_KEYIVT__MD	float64 matrix
WLK_LRF_WLK_FERRYIVT__MD	float64 matrix
WLK_LRF_WLK_FAR__MD	float64 matrix
WLK_LRF_WLK_WAUX__MD	float64 matrix
WLK_LRF_WLK_IWAIT__MD	float64 matrix
WLK_LRF_WLK_XWAIT__MD	float64 matrix
WLK_LRF_WLK_BOARDS__MD	float64 matrix
DRV_COM_WLK_WAIT__PM	float64 matrix
DRV_COM_WLK_TOTIVT__PM	float64 matrix
DRV_COM_WLK_KEYIVT__PM	float64 matrix
DRV_COM_WLK_FAR__PM	float64 matrix
DRV_COM_WLK_DTIM__PM	float64 matrix
DRV_COM_WLK_DDIST__PM	float64 matrix
DRV_COM_WLK_WAUX__PM	float64 matrix
DRV_COM_WLK_IWAIT__PM	float64 matrix
DRV_COM_WLK_XWAIT__PM	float64 matrix
DRV_COM_WLK_BOARDS__PM	float64 matrix
DRV_EXP_WLK_WAIT__PM	float64 matrix
DRV_EXP_WLK_TOTIVT__PM	float64 matrix
DRV_EXP_WLK_KEYIVT__PM	float64 matrix
DRV_EXP_WLK_FAR__PM	float64 matrix
DRV_EXP_WLK_DTIM__PM	float64 matrix
DRV_EXP_WLK_WAUX__PM	float64 matrix
DRV_EXP_WLK_IWAIT__PM	float64 matrix
DRV_EXP_WLK_XWAIT__PM	float64 matrix
DRV_EXP_WLK_BOARDS__PM	float64 matrix
DRV_EXP_WLK_DDIST__PM	float64 matrix
DRV_HVY_WLK_WAIT__PM	float64 matrix
DRV_HVY_WLK_TOTIVT__PM	float64 matrix
DRV_HVY_WLK_KEYIVT__PM	float64 matrix
DRV_HVY_WLK_FAR__PM	float64 matrix
DRV_HVY_WLK_DTIM__PM	float64 matrix
DRV_HVY_WLK_DDIST__PM	float64 matrix
DRV_HVY_WLK_WAUX__PM	float64 matrix
DRV_HVY_WLK_IWAIT__PM	float64 matrix
DRV_HVY_WLK_XWAIT__PM	float64 matrix
DRV_HVY_WLK_BOARDS__PM	float64 matrix
DRV_LOC_WLK_WAIT__PM	float64 matrix
DRV_LOC_WLK_TOTIVT__PM	float64 matrix
DRV_LOC_WLK_FAR__PM	float64 matrix
DRV_LOC_WLK_DTIM__PM	float64 matrix
DRV_LOC_WLK_DDIST__PM	float64 matrix
DRV_LOC_WLK_WAUX__PM	float64 matrix
DRV_LOC_WLK_IWAIT__PM	float64 matrix
DRV_LOC_WLK_XWAIT__PM	float64 matrix
DRV_LOC_WLK_BOARDS__PM	float64 matrix
DRV_LRF_WLK_WAIT__PM	float64 matrix
DRV_LRF_WLK_TOTIVT__PM	float64 matrix
DRV_LRF_WLK_KEYIVT__PM	float64 matrix
DRV_LRF_WLK_FERRYIVT__PM	float64 matrix
DRV_LRF_WLK_FAR__PM	float64 matrix
DRV_LRF_WLK_DTIM__PM	float64 matrix
DRV_LRF_WLK_DDIST__PM	float64 matrix
DRV_LRF_WLK_WAUX__PM	float64 matrix
DRV_LRF_WLK_IWAIT__PM	float64 matrix
DRV_LRF_WLK_XWAIT__PM	float64 matrix
DRV_LRF_WLK_BOARDS__PM	float64 matrix
WLK_COM_DRV_WAIT__PM	float64 matrix
WLK_COM_DRV_TOTIVT__PM	float64 matrix
WLK_COM_DRV_KEYIVT__PM	float64 matrix
WLK_COM_DRV_FAR__PM	float64 matrix
WLK_COM_DRV_DTIM__PM	float64 matrix
WLK_COM_DRV_DDIST__PM	float64 matrix
WLK_COM_DRV_WAUX__PM	float64 matrix
WLK_COM_DRV_IWAIT__PM	float64 matrix
WLK_COM_DRV_XWAIT__PM	float64 matrix
WLK_COM_DRV_BOARDS__PM	float64 matrix
WLK_COM_WLK_WAIT__PM	float64 matrix
WLK_COM_WLK_TOTIVT__PM	float64 matrix
WLK_COM_WLK_KEYIVT__PM	float64 matrix
WLK_COM_WLK_FAR__PM	float64 matrix
WLK_COM_WLK_WAUX__PM	float64 matrix
WLK_COM_WLK_IWAIT__PM	float64 matrix
WLK_COM_WLK_XWAIT__PM	float64 matrix
WLK_COM_WLK_BOARDS__PM	float64 matrix
WLK_EXP_DRV_WAIT__PM	float64 matrix
WLK_EXP_DRV_TOTIVT__PM	float64 matrix
WLK_EXP_DRV_KEYIVT__PM	float64 matrix
WLK_EXP_DRV_FAR__PM	float64 matrix
WLK_EXP_DRV_DTIM__PM	float64 matrix
WLK_EXP_DRV_WAUX__PM	float64 matrix
WLK_EXP_DRV_IWAIT__PM	float64 matrix
WLK_EXP_DRV_XWAIT__PM	float64 matrix
WLK_EXP_DRV_BOARDS__PM	float64 matrix
WLK_EXP_DRV_DDIST__PM	float64 matrix
WLK_EXP_WLK_WAIT__PM	float64 matrix
WLK_EXP_WLK_TOTIVT__PM	float64 matrix
WLK_EXP_WLK_KEYIVT__PM	float64 matrix
WLK_EXP_WLK_FAR__PM	float64 matrix
WLK_EXP_WLK_WAUX__PM	float64 matrix
WLK_EXP_WLK_IWAIT__PM	float64 matrix
WLK_EXP_WLK_XWAIT__PM	float64 matrix
WLK_EXP_WLK_BOARDS__PM	float64 matrix
WLK_HVY_DRV_WAIT__PM	float64 matrix
WLK_HVY_DRV_TOTIVT__PM	float64 matrix
WLK_HVY_DRV_KEYIVT__PM	float64 matrix
WLK_HVY_DRV_FAR__PM	float64 matrix
WLK_HVY_DRV_DTIM__PM	float64 matrix
WLK_HVY_DRV_DDIST__PM	float64 matrix
WLK_HVY_DRV_WAUX__PM	float64 matrix
WLK_HVY_DRV_IWAIT__PM	float64 matrix
WLK_HVY_DRV_XWAIT__PM	float64 matrix
WLK_HVY_DRV_BOARDS__PM	float64 matrix
WLK_HVY_WLK_WAIT__PM	float64 matrix
WLK_HVY_WLK_TOTIVT__PM	float64 matrix
WLK_HVY_WLK_KEYIVT__PM	float64 matrix
WLK_HVY_WLK_FAR__PM	float64 matrix
WLK_HVY_WLK_WAUX__PM	float64 matrix
WLK_HVY_WLK_IWAIT__PM	float64 matrix
WLK_HVY_WLK_XWAIT__PM	float64 matrix
WLK_HVY_WLK_BOARDS__PM	float64 matrix
WLK_LOC_DRV_WAIT__PM	float64 matrix
WLK_LOC_DRV_TOTIVT__PM	float64 matrix
WLK_LOC_DRV_FAR__PM	float64 matrix
WLK_LOC_DRV_DTIM__PM	float64 matrix
WLK_LOC_DRV_DDIST__PM	float64 matrix
WLK_LOC_DRV_WAUX__PM	float64 matrix
WLK_LOC_DRV_IWAIT__PM	float64 matrix
WLK_LOC_DRV_XWAIT__PM	float64 matrix
WLK_LOC_DRV_BOARDS__PM	float64 matrix
WLK_LOC_WLK_WAIT__PM	float64 matrix
WLK_LOC_WLK_TOTIVT__PM	float64 matrix
WLK_LOC_WLK_FAR__PM	float64 matrix
WLK_LOC_WLK_WAUX__PM	float64 matrix
WLK_LOC_WLK_IWAIT__PM	float64 matrix
WLK_LOC_WLK_XWAIT__PM	float64 matrix
WLK_LOC_WLK_BOARDS__PM	float64 matrix
WLK_LRF_DRV_WAIT__PM	float64 matrix
WLK_LRF_DRV_TOTIVT__PM	float64 matrix
WLK_LRF_DRV_KEYIVT__PM	float64 matrix
WLK_LRF_DRV_FERRYIVT__PM	float64 matrix
WLK_LRF_DRV_FAR__PM	float64 matrix
WLK_LRF_DRV_DTIM__PM	float64 matrix
WLK_LRF_DRV_DDIST__PM	float64 matrix
WLK_LRF_DRV_WAUX__PM	float64 matrix
WLK_LRF_DRV_IWAIT__PM	float64 matrix
WLK_LRF_DRV_XWAIT__PM	float64 matrix
WLK_LRF_DRV_BOARDS__PM	float64 matrix
WLK_LRF_WLK_WAIT__PM	float64 matrix
WLK_LRF_WLK_TOTIVT__PM	float64 matrix
WLK_LRF_WLK_KEYIVT__PM	float64 matrix
WLK_LRF_WLK_FERRYIVT__PM	float64 matrix
WLK_LRF_WLK_FAR__PM	float64 matrix
WLK_LRF_WLK_WAUX__PM	float64 matrix
WLK_LRF_WLK_IWAIT__PM	float64 matrix
WLK_LRF_WLK_XWAIT__PM	float64 matrix
WLK_LRF_WLK_BOARDS__PM	float64 matrix
WLK_TRN_WLK_IVT__AM	float64 matrix
WLK_TRN_WLK_IWAIT__AM	float64 matrix
WLK_TRN_WLK_XWAIT__AM	float64 matrix
WLK_TRN_WLK_WACC__AM	float64 matrix
WLK_TRN_WLK_WAUX__AM	float64 matrix
WLK_TRN_WLK_WEGR__AM	float64 matrix
WLK_TRN_WLK_IVT__MD	float64 matrix
WLK_TRN_WLK_IWAIT__MD	float64 matrix
WLK_TRN_WLK_XWAIT__MD	float64 matrix
WLK_TRN_WLK_WACC__MD	float64 matrix
WLK_TRN_WLK_WAUX__MD	float64 matrix
WLK_TRN_WLK_WEGR__MD	float64 matrix
WLK_TRN_WLK_IVT__PM	float64 matrix
WLK_TRN_WLK_IWAIT__PM	float64 matrix
WLK_TRN_WLK_XWAIT__PM	float64 matrix
WLK_TRN_WLK_WACC__PM	float64 matrix
WLK_TRN_WLK_WAUX__PM	float64 matrix
WLK_TRN_WLK_WEGR__PM	float64 matrix

Configuration#

This section has been moved to Configuration.

Sub-Model Specification Files#

Included in the configs folder are the model specification files that store the Python/pandas/numpy expressions, alternatives, and other settings used by each model. Some models includes an alternatives file since the alternatives are not easily described as columns in the expressions file. An example of this is the non_mandatory_tour_frequency_alternatives.csv file, which lists each alternative as a row and each columns indicates the number of non-mandatory tours by purpose. The set of files for the prototype_mtc are below. The prototype_arc, prototype_semcog, and prototype_mtc_extended examples added additional submodels.

Model	Specification Files
initialize_landuse	initialize_landuse.yaml annotate_landuse.csv
Accessibility	accessibility.yaml accessibility.csv
initialize_households	initialize_households.yaml annotate_persons.csv annotate_households.csv annotate_persons_after_hh.csv
school_location	school_location.yaml school_location_coeffs.csv annotate_persons_school.csv school_location_sample.csv tour_mode_choice.yaml (and related files) school_location.csv destination_choice_size_terms.csv shadow_pricing.yaml
work_location	workplace_location.yaml workplace_location_coeffs.csv annotate_persons_workplace.csv annotate_households_workplace.csv workplace_location_sample.csv tour_mode_choice.yaml (and related files) workplace_location.csv destination_choice_size_terms.csv shadow_pricing.yaml
auto_ownership	auto_ownership.yaml auto_ownership_coeffs.csv auto_ownership.csv
freeparking	free_parking.yaml free_parking_coeffs.csv free_parking.csv free_parking_annotate_persons_preprocessor.csv
cdap	cdap.yaml annotate_persons_cdap.csv annotate_households_cdap.csv cdap_indiv_and_hhsize1.csv cdap_interaction_coefficients.csv cdap_fixed_relative_proportions.csv
mandatory_tour_frequency	mandatory_tour_frequency.yaml mandatory_tour_frequency_coeffs.csv mandatory_tour_frequency.csv mandatory_tour_frequency_alternatives.csv annotate_persons_mtf.csv
mandatory_tour_scheduling	mandatory_tour_scheduling.yaml tour_scheduling_work_coeffs.csv tour_scheduling_work.csv tour_scheduling_school.csv tour_departure_and_duration_alternatives.csv tour_departure_and_duration_segments.csv
joint_tour_frequency	joint_tour_frequency.yaml joint_tour_frequency_coeffs.csv annotate_persons_jtf.csv joint_tour_frequency_annotate_households_preprocessor.csv joint_tour_frequency_alternatives.csv
joint_tour_composition	joint_tour_composition.yaml joint_tour_composition_coefficients.csv joint_tour_composition_annotate_households_preprocessor.csv joint_tour_composition.csv
joint_tour_participation	joint_tour_participation.yaml joint_tour_participation_coefficients.csv joint_tour_participation_annotate_participants_preprocessor.csv joint_tour_participation.csv
joint_tour_destination_choice	joint_tour_destination.yaml non_mandatory_tour_destination_coefficients.csv non_mandatory_tour_destination_sample.csv non_mandatory_tour_destination.csv tour_mode_choice.yaml (and related files) destination_choice_size_terms.csv
joint_tour_scheduling	joint_tour_scheduling.yaml tour_scheduling_joint_coefficients.csv joint_tour_scheduling_annotate_tours_preprocessor.csv tour_scheduling_joint.csv tour_departure_and_duration_alternatives.csv
non_mandatory_tour_frequency	non_mandatory_tour_frequency.yaml non_mandatory_tour_frequency_coefficients_{ptype}.csv non_mandatory_tour_frequency.csv non_mandatory_tour_frequency_alternatives.csv non_mandatory_tour_frequency_annotate_persons_preprocessor.csv non_mandatory_tour_frequency_extension_probs.csv annotate_persons_nmtf.csv
non_mandatory_tour_destination_choice	non_mandatory_tour_destination.yaml non_mandatory_tour_destination_coefficients.csv non_mandatory_tour_destination.csv non_mandatory_tour_destination_sample.csv tour_mode_choice.yaml (and related files) destination_choice_size_terms.csv
non_mandatory_tour_scheduling	non_mandatory_tour_scheduling.yaml tour_scheduling_nonmandatory_coefficients.csv non_mandatory_tour_scheduling_annotate_tours_preprocessor.csv tour_scheduling_nonmandatory.csv tour_departure_and_duration_alternatives.csv
tour_mode_choice	tour_mode_choice.yaml tour_mode_choice_annotate_choosers_preprocessor.csv tour_mode_choice.csv tour_mode_choice_coefficients.csv tour_mode_choice_coeffs_template.csv
atwork_subtour_frequency	atwork_subtour_frequency.yaml atwork_subtour_frequency_coefficients.csv atwork_subtour_frequency.csv atwork_subtour_frequency_alternatives.csv atwork_subtour_frequency_annotate_tours_preprocessor.csv
atwork_subtour_destination	atwork_subtour_destination.yaml atwork_subtour_destination_coefficients.csv atwork_subtour_destination_sample.csv atwork_subtour_destination.csv tour_mode_choice.yaml (and related files) destination_choice_size_terms.csv
atwork_subtour_scheduling	tour_scheduling_atwork.yaml tour_scheduling_atwork_coefficients.csv tour_scheduling_atwork.csv tour_scheduling_atwork_preprocessor.csv tour_departure_and_duration_alternatives.csv
atwork_subtour_mode_choice	tour_mode_choice.yaml (and related files)
intermediate_stop_frequency	stop_frequency.yaml stop_frequency_annotate_tours_preprocessor.csv stop_frequency_alternatives.csv stop_frequency_atwork.csv stop_frequency_eatout.csv stop_frequency_escort.csv stop_frequency_othdiscr.csv stop_frequency_othmaint.csv stop_frequency_school.csv stop_frequency_shopping.csv stop_frequency_social.csv stop_frequency_subtour.csv stop_frequency_univ.csv stop_frequency_work.csv
trip_purpose	trip_purpose.yaml (+ trip_purpose_and_destination.yaml) trip_purpose_annotate_trips_preprocessor.csv trip_purpose_probs.csv
trip_destination_choice	trip_destination.yaml (+ trip_purpose_and_destination.yaml) trip_destination.csv trip_destination_annotate_trips_preprocessor.csv trip_destination_sample.csv trip_mode_choice.yaml (and related files) destination_choice_size_terms.csv
trip_scheduling	trip_scheduling.yaml trip_scheduling_probs.csv
trip_mode_choice	trip_mode_choice.yaml trip_mode_choice_annotate_trips_preprocessor.csv trip_mode_choice_coefficients.csv trip_mode_choice.csv
parking_location_choice	parking_location_choice.yaml parking_location_choice_annotate_trips_preprocessor.csv parking_location_choice_coeffs.csv parking_location_choice.csv
write_trip_matrices	write_trip_matrices.yaml write_trip_matrices_annotate_trips_preprocessor.csv

Running the model#

To run the example, do the following:

Activate the correct conda environment if needed
View the list of available examples

activitysim create --list

Create a local copy of an example folder

activitysim create --example prototype_mtc --destination my_test_example

Run the example

cd my_test_example
activitysim run -c configs -d data -o output

ActivitySim will log progress and write outputs to the output folder.

The example should run in a few minutes since it runs a small sample of households.

Note

A customizable run script for power users can be found in the Github repo. This script takes many of the same arguments as the activitysim run command, including paths to --config, --data, and --output directories. The script looks for these folders in the current working directory by default.

python simulation.py

Multiprocessing#

The model system is parallelized via Multiprocessing. To setup and run the Example using multiprocessing, follow the same steps as the above Running the model, but add an additional -c flag to include the multiprocessing configuration settings via settings file inheritance (see Command Line Interface) as well:

activitysim run -c configs_mp -c configs -d data -o output

The multiprocessing example also writes outputs to the output folder.

The default multiprocessed example is configured to run with two processors and chunking training: num_processes: 2, chunk_size: 0, and chunk_training_mode: training. Additional more performant configurations are included and commented out in the example settings file. For example, the 100 percent sample full scale multiprocessing example - prototype_mtc_full - was run on a Windows Server machine with 28 cores and 256GB RAM with the configuration below. The default setup runs with chunk_training_mode: training since no chunk cache file is present. To run the example significantly faster, try chunk_training_mode: disabled if the machine has sufficient RAM, or try chunk_training_mode: production. To configure chunk_training_mode: production, first configure chunking as discussed below. See Multiprocessing and Chunk for more information.

households_sample_size: 0
num_processes: 24
chunk_size: 0
chunk_training_mode: production

Configuring chunking#

To configure chunking, ActivitySim must first be trained to determine reasonable chunking settings given the model setup and machine. The steps to configure chunking are:

Run the full scale model with chunk_training_mode: training. Set num_processors to about 80% of the available physical processors and chunk_size to about 80% of the available RAM. This will run the model and create the chunk_cache.csv file in the outputcache directory for reuse.
The households_sample_size for training chunking should be at least 1 / num_processors to provide sufficient data for training and the chunk_method: hybrid_uss typically performs best.
Run the full scale model with chunk_training_mode: production. Experiment with different num_processors and chunk_size settings depending on desired runtimes and machine resources.

See Chunk for more information. Users can run chunk_training_mode: disabled if the machine has an abundance of RAM for the model setup.

Outputs#

The key output of ActivitySim is the HDF5 data pipeline file outputs\pipeline.h5. By default, this datastore file contains a copy of each data table after each model step in which the table was modified.

The example also writes the final tables to CSV files by using the write_tables step. This step calls activitysim.core.pipeline.get_table() to get a pandas DataFrame and write a CSV file for each table specified in output_tables in the settings.yaml file.

output_tables:
  h5_store: False
  action: include
  prefix: final_
  tables:
    - checkpoints
    - accessibility
    - land_use
    - households
    - persons
    - tours
    - trips
    - joint_tour_participants

The other_resources\scripts\make_pipeline_output.py script uses the information stored in the pipeline file to create the table below for a small sample of households. The table shows that for each table in the pipeline, the number of rows and/or columns changes as a result of the relevant model step. A checkpoints table is also stored in the pipeline, which contains the crosswalk between model steps and table states in order to reload tables for restarting the pipeline at any step.

Table	Creator	NRow	NCol
accessibility	compute_accessibility	1454	10
households	initialize	100	65
households	workplace_location	100	66
households	cdap_simulate	100	73
households	joint_tour_frequency	100	75
joint_tour_participants	joint_tour_participation	13	4
land_use	initialize_landuse	1454	44
person_windows	initialize_households	271	21
persons	initialize_households	271	42
persons	school_location	271	45
persons	workplace_location	271	52
persons	free_parking	271	53
persons	cdap_simulate	271	59
persons	mandatory_tour_frequency	271	64
persons	joint_tour_participation	271	65
persons	non_mandatory_tour_frequency	271	74
school_destination_size	initialize_households	1454	3
school_modeled_size	school_location	1454	3
tours	mandatory_tour_frequency	153	11
tours	mandatory_tour_scheduling	153	15
tours	joint_tour_composition	159	16
tours	tour_mode_choice_simulate	319	17
tours	atwork_subtour_frequency	344	19
tours	stop_frequency	344	21
trips	stop_frequency	859	7
trips	trip_purpose	859	8
trips	trip_destination	859	11
trips	trip_scheduling	859	11
trips	trip_mode_choice	859	12
workplace_destination_size	initialize_households	1454	4
workplace_modeled_size	workplace_location	1454	4

Logging#

Included in the configs folder is the logging.yaml, which configures Python logging library. The following key log files are created with a model run:

activitysim.log - overall system log file
timing_log.csv - submodel step runtimes
omnibus_mem.csv - multiprocessed submodel memory usage

Refer to the Tracing section for more detail on tracing.

Trip Matrices#

The write_trip_matrices step processes the trips table to create open matrix (OMX) trip matrices for assignment. The matrices are configured and coded according to the expressions in the model step trip annotation file. See write_trip_matrices for more information.

Tracing#

There are two types of tracing in ActivtiySim: household and origin-destination (OD) pair. If a household trace ID is specified, then ActivitySim will output a comprehensive set (i.e. hundreds) of trace files for all calculations for all household members:

Several CSV files - each input, intermediate, and output data table - chooser, expressions/utilities, probabilities, choices, etc. - for the trace household for each sub-model

If an OD pair trace is specified, then ActivitySim will output the acessibility calculations trace file:

accessibility.result.csv - accessibility expression results for the OD pair

With the set of output CSV files, the user can trace ActivitySim calculations in order to ensure they are correct and/or to help debug data and/or logic errors.

Writing Logsums#

The tour and trip destination and mode choice models calculate logsums but do not persist them by default. Mode and destination choice logsums are essential for re-estimating these models and can therefore be saved to the pipeline if desired. To save the tour and trip destination and mode choice model logsums, include the following optional settings in the model settings file. The data is saved to the pipeline for later use.

# in workplace_location.yaml for example
DEST_CHOICE_LOGSUM_COLUMN_NAME: workplace_location_logsum
DEST_CHOICE_SAMPLE_TABLE_NAME: workplace_location_sample

# in tour_mode_choice.yaml for example
MODE_CHOICE_LOGSUM_COLUMN_NAME: mode_choice_logsum

The DEST_CHOICE_SAMPLE_TABLE_NAME contains the fields in the table below. Writing out the destination choice sample table, which includes the mode choice logsum for each sampled alternative destination, adds significant size to the pipeline. Therefore, this feature should only be activated when writing logsums for a small set of households for model estimation.

Field	Description
chooser_id	chooser id such as person or tour id
alt_dest	destination alternative id
prob	alternative probability
pick_count	sampling with replacement pick count
mode_choice_logsum	mode choice logsum