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Model Outputs
Most outputs are stored in the directory “outputs/” under the project folder. Inside the “outputs” folder is a “networks”, “skims”, “trips”, and “other” folder, each with its respective files.
Files generated by the model that are used as alternatives in destination choice models are stored in the uec folder.
A number of initial output files are created before running OR-RAMP. These output files are illustrated in the following tables.
Name | Description |
---|---|
MAZ | MAZ number for CT-RAMP. From 1 to N (number of MAZs). This is the SEQMAZ field in the version file. |
NO | VISUM zone number |
TAZ | TAZ number |
DISTNAME | District name |
COUNTY | County |
HH | Number of households |
EMP_CONSTR | Construction employment |
EMP_WHOLE | Wholesale Trade employment |
EMP_RETAIL | Retail Trade employment |
EMP_SPORT | Sporting Goods, Hobby, Musical Instruments and Book stores employment |
EMP_ACCFD | Accommodation and Food Services employment |
EMP_AGR | Agriculture, Forestry, Fishing and Hunting employment |
EMP_MIN | Mining, Quarrying, and Oil and Gas Extraction employment |
EMP_UTIL | Utilities employment |
EMP_FOOD | Food Manufacturing employment |
EMP_WOOD | Wood Product Manufacturing employment |
EMP_METAL | Primary Metal Manufacturing employment |
EMP_TRANS | Transportation employment |
EMP_POSTAL | Postal Service employment |
EMP_INFO | Information employment |
EMP_FINANC | Finance and Insurance employment |
EMP_REALES | Real Estate and Rental and Leasing employment |
EMP_PROF | Professional, Scientific, and Technical Services employment |
EMP_MGMT | Management of Companies and Enterprises employment |
EMP_ADMIN | Administrative and Support and Waste Management employment |
EMP_EDUC | Educational Services employment |
EMP_HEALTH | Health Care and Social Assistance employment |
EMP_ARTS | Arts, Entertainment, and Recreation employment |
EMP_OTHER | Other Services (except Public Administration) Religious employment |
EMP_PUBADM | Public Administration employment |
EMP_TOTAL | Total employment |
ENROLLK_8 | Grade School K-8 enrollment |
ENROLL9_12 | Grade School 9-12 enrollment |
ENROLLCOLL | Major College enrollment |
ENROLLCOOT | Other College enrollment |
ENROLLADSC | Adult School enrollment |
universitySqFtClass | University square footage classrooms |
universitySqFtOffice | University square footage office |
universitySqFtRec | University square footage recreation |
ECH_DIST | Elementary school district |
HCH_DIST | High school district |
HOTELRMTOT | Total number of hotel rooms |
PARKAREA | Parking model code: |
1 - Trips with destinations in this MAZ may choose to park in a different MAZ, parking charges apply (downtown) | |
2 - Trips with destinations in parkarea 1 may choose to park in this MAZ, parking charges might apply (quarter mile buffer around downtown) | |
3 - Only trips with destinations in this MAZ may park here, parking charges apply (outside downtown paid parking, only show cost no capacity issue) | |
4 - Only trips with destinations in this MAZ may park here, parking charges do not apply (outside downtown, free parking) | |
HSTALLSOTH | Number of stalls allowing hourly parking for trips with destinations in other MAZs |
HSTALLSSAM | Number of stalls allowing hourly parking for trips with destinations in the same MAZ |
HPARKCOST | Average cost of parking for one hour in hourly stalls in this MAZ, dollars |
NUMFREEHRS | Number of hours of free parking allowed before parking charges begin in hourly stalls |
DSTALLSOTH | Stalls allowing daily parking for trips with destinations in other MAZs |
DSTALLSSAM | Stalls allowing daily parking for trips with destinations in the same MAZ |
DPARKCOST | Average cost of parking for one day in daily stalls, dollars |
MSTALLSOTH | Stalls allowing monthly parking for trips with destinations in other MAZs |
MSTALLSSAM | Stalls allowing monthly parking for trips with destinations in the same MAZ |
MPARKCOST | Average cost of parking for one day in monthly stalls, amortized over 22 workdays, dollars |
POP | Total population |
HHP | Total household population (exclude GQ pop) |
WRK_EXT_PR | Probability of working outside the region |
SCHDIST_NA | School district name |
SCHDIST | School district code |
DUDEN | Dwelling unit density within ½ mile |
EMPDEN | Employment density within ½ mile |
TOTINT | Intersection count within ½ mile |
POPDEN | Population density |
RETDEN | Retail employment density within ½ mile |
TERMTIME | Terminal time |
PARKACRES | Park acres |
Name | Units/Description |
---|---|
FROMNODE | Link from node no |
TONODE | Link to node no |
V0PRT | Free flow speed for transit runtimes |
Field | Description |
---|---|
TAP | TAP ID |
TAZ | TAP’s TAZ |
LOTID | Parking lot ID, which is currently set to the TAP ID by tazsToTapsForDriveAccess() in Master_Runner.py |
CAPACITY | Parking lot capacity, which is currently set to 1 by tazsToTapsForDriveAccess() in Master_Runner.py |
Name | Units/Description |
---|---|
TAP | TAP number |
LINES | Space delimited list of lines served |
Name | Units/Description |
---|---|
A | Alternative number |
MGRA | MAZ |
PARKAREA | Park area type, which is set to 4 for all zones |
Name | Units/Description |
---|---|
A | Alternative number |
MGRA | MAZ |
Name | Units/Description |
---|---|
A | Alternative number for the CT-RAMP destination choice models. This is an index to the list of zones, i.e. from 1 to the max number of zones |
MGRA | MAZ |
DEST | TAZ |
Name | Units/Description |
---|---|
A | Alternative number |
DEST | TAZ |
The CVM and SWIM external model both output OMX trip matrices for import into VISUM for eventual assignment on the TAZ network. The output matrices are listed below. See CVM and External Model for more information.
File | Description | Input/Output |
---|---|---|
outputs/trips/cvmTrips.omx | Trip matrices by type and time period CAR, SU, MU EV1, EA, AM, MD, PM, EV2 | Output |
File | Description | Input/Output |
---|---|---|
outputs/trips/externalOD.omx | Trips matrices by purpose and time period hbw, hbcoll, hbsch, hbo, hbr, hbs, nhbnw, nhbw, truck EV1, EA, AM, MD, PM, EV2 | Output |
The ABM produces multiple types of network LOS indicators, often called skim matrices. The following skims are output.
Skim | Description | Skim Number |
---|---|---|
IVT | In-Vehicle Time | 1 |
OWT | Origin Wait Time | 2 |
TWT | Transfer Wait Time | 3 |
WKT | Walk Time | 4 |
NTR | Transfers (Boardings-1) | 5 |
FAR | Fare | 6 |
IVTT(Bus) | In-Vehicle Time Tsys Bus | 7 |
IVTT(ComRail) | In-Vehicle Time Tsys ComRail | 8 |
IVTT(ExpBus) | In-Vehicle Time Tsys ExpBus | 9 |
IVTT(LightRail) | In-Vehicle Time Tsys LightRail | 10 |
Demand | The OD matrix for the TOD and SETID | 107 |
Skim | Description | Skim Number |
---|---|---|
fare | TAP-TAP fare in cents | fare |
Name | Units/Description |
---|---|
OMAZ | Origin MAZ |
DMAZ | Destination MAZ |
DISTMILES | Network distance in miles |
Name | Units/Description |
---|---|
TAP | TAP ID |
MAZ | MAZ ID |
DISTMILES | Network distance in miles |
Field | Description |
---|---|
FTAZ | From TAZ |
MODE | Transit mode |
PERIOD | Time period |
TTAP | To TAP |
TMAZ | To TAP’s MAZ |
TTAZ | To TAP’s TAZ |
DTIME | Drive time |
DDIST | Drive distance |
DTOLL | Drive toll |
WDIST | Walk distance |
Transport Systems | Demand Segment | Skims | Skim Numbers |
---|---|---|---|
SOV | SOV | TTO,TTC,DIS,Demand | 1,2,3,100 |
SOVToll | SOVToll | TTO,TTC,DIS,AD1,TOL,Demand | 4,5,6,7,8,104 |
HOV2 | HOV2 | TTO,TTC,DIS,AD2,Demand | 9,10,11,12,101 |
HOV2Toll | HOV2Toll | TTO,TTC,DIS,AD1,AD2,TOL,Demand | 13,14,15,16,17,18,105 |
HOV3 | HOV3 | TTO,TTC,DIS,AD3,Demand | 19,20,21,22,102 |
HOV3Toll | HOV3Toll | TTO,TTC,DIS,AD1,AD3,TOL,Demand | 23,24,25,26,27,28,106 |
Truck | Truck | TTO,TTC,DIS,Demand | 29,30,31,103 |
TruckToll | TruckToll | TTO,TTC,DIS,AD1,TOL | 32,33,34,35,36 |
Skim | Description | Intrazonal |
---|---|---|
TT0 | Free flow travel time | 0.5 * mean nearest 3 |
TTC | Congested travel time | 0.5 * mean nearest 3 |
DIS | Trip distance | 0.5 * mean nearest 3 |
AD1 | Toll only distance* | 0.5 * mean nearest 3 |
AD2 | HOV2 only distance* | 0.5 * mean nearest 3 |
AD3 | HOV3 only distance* | 0.5 * mean nearest 3 |
TOL | Toll | 0.5 * mean nearest 3 |
*Before skimming each demand segment | ||
AddVal1 = Length * (Toll_PrTSys([DSEG]) > 0) | ||
AddVal2 = Length * (T0_PrTSys(HOV2/HOV2Toll) < 99999 & T0_PrTSys(SOV) >= 99999) | ||
AddVal3 = Length * (T0_PrTSys(HOV3/HOV3Toll) < 99999 & T0_PrTSys(SOV) >= 99999) | ||
Note AddVal1,2,3 are used for internal calculations and should not be used by the user |
OR-RAMP produces the following tour and trip microsimulation trip lists for both individual and joint travel. The files output are listed below. The modes are defined in Tour and Trip Modes below.
- Individual tours - outputs/other/indivTourData_[iteration].csv
- Individual trips - outputs/other/indivTripData_[iteration].csv
- Joint tours – outputs/other/jointTourData_[iteration].csv
- Joint trips - outputs/other/jointTripData_[iteration].csv
It is important to consider occupancy when reviewing these tables. The model generates person trips. A mode is chosen for each person trip, for personal vehicle travel this could be SOV, HOV2, or HOV3+. At an aggregate level, 100 HOV2 person trips must result in 50 vehicle trips. While this is true at an aggregate level, it may not be possible to pair up all HOV2 person trips produced in the model. But the model produces enough HOV2 person trips to match the target mode share. For HOV3+, 3.33 is an average occupancy assumption based on what is generally observed in travel surveys. When reviewing the joint table remember that these records include all travelers. So only one row per trip, as opposed to one row per person or traveler.
Field | Description |
---|---|
hh_id | Household ID |
person_id | Person ID |
person_num | Person number in HH |
person_type | Person type |
tour_id | Tour ID |
tour_category | Tour category: |
INDIVIDUAL_NON_MANDATORY | |
MANDATORY | |
AT_WORK | |
tour_purpose | Tour purpose: |
Discretionary | |
Eating Out | |
Escort | |
Maintenance | |
School | |
Shop | |
University | |
Visiting | |
Work | |
Work-Based | |
orig_maz | Origin MAZ |
dest_maz | Destination MAZ |
start_period | Tour start period (periods starting at 03:00 AM) |
end_period | Tour end period (periods starting at 03:00 AM) |
tour_mode | Tour mode (see Tour and Trip Modes Codes) |
tour_distance | Tour distance |
tour_time | Tour time |
atWork_freq | At work stop frequency |
num_ob_stops | Number of outbound stops |
num_ib_stops | Number of inbound stops |
escort_type_out | Escort type outbound (0 = no escorting; 1 = ride-share, 2 = pure escort) |
escort_type_in | Escort type inbound (0 = no escorting; 1 = ride-share, 2 = pure escort) |
driver_num_out | Escort driver number outbound (person number of driver on outbound direction if escort tour) |
driver_num_in | Escort driver number inbound (person number of driver on inbound direction if escort tour) |
out_btap | Outbound boarding tap |
out_atap | Outbound alighting tap |
in_btap | Inbound boarding tap |
in_atap | Inbound alighting tap |
out_set | Outbound transit set |
in_set | Inbound transit set |
Util_[1-14] | Utility for each tour mode (see Tour and Trip Modes Codes) |
Prob_[1-14] | Probabilities for each tour mode (see Tour and Trip Modes Codes) |
Field | Description |
---|---|
hh_id | Household ID |
person_id | Person ID |
person_num | Person number in HH |
person_type | Person type |
tour_id | Tour ID |
Stop_id | Trip ID |
Inbound | Inbound or outbound trip |
Tour_purpose | Tour purpose: |
Discretionary | |
Eating Out | |
Escort | |
Maintenance | |
School | |
Shop | |
University | |
Visiting | |
Work | |
Work-Based | |
orig_purpose | Trip origin purpose: |
Discretionary | |
Eating Out | |
Escort | |
Home | |
Maintenance | |
School | |
Shop | |
University | |
Visiting | |
Work | |
work related | |
Work-Based | |
dest_purpose | Trip destination purpose: |
Discretionary | |
Eating Out | |
Escort | |
Home | |
Maintenance | |
School | |
Shop | |
University | |
Visiting | |
Work | |
work related | |
Work-Based | |
orig_maz | Origin MAZ |
dest_maz | Destination MAZ |
universityParking | University parking (1 for true) |
Parking_maz | Parking MAZ |
stop_period | Trip period (30min periods see Table) |
trip_mode | Trip mode (see Table) |
Trip_board_tap | Trip boarding tap |
Trip_alight_tap | Trip alighting tap |
Tour_mode | Tour mode (see Table) |
Driver_pnum | The person_num of the driver if the trip origin or destination is escort; else 0 if neither end of the trip is part of the escort model. |
Orig_escort_stoptype | Origin escort trip stop type (0 = no escorting; 1 = dropped-off, 2 = picked-up) |
orig_escortee_pnum | The person_num of the child being picked-up or dropped off at the origin end of the trip |
dest_escort_stoptype | Destination escort trip stop type (0 = no escorting; 1 = dropped-off, 2 = picked-up) |
dest_escortee_pnum | The person_num of the child being picked-up or dropped off at the destination end of the trip |
Set | Transit set ID |
Field | Description |
---|---|
hh_id | Hosehold ID |
tour_id | Tour ID |
tour_category | Tour category |
tour_purpose | Tour purpose |
tour_composition | Tour composition code |
tour_participants | Household person numbers |
orig_maz | Origin MAZ |
dest_maz | Destination MAZ |
start_period | Tour start period 30min periods see Table) |
end_period | Tour end period (30min periods see Table) |
tour_mode | Tour mode (see Table) |
tour_distance | Tour distance |
tour_time | Tour time |
num_ob_stops | Number of outbound stops |
num_ib_stops | Number of inbound stops |
out_btap | Outbound boarding tap |
out_atap | Outbound alighting tap |
in_btap | Inbound boarding tap |
in_atap | Inbound alighting tap |
out_set | Outbound transit set |
in_set | Inbound transit set |
Util_[1-14] | Utility for each mode |
Prob_[1-14] | Probabilities for each mode |
Field | Description |
---|---|
hh_id | Household ID |
tour_id | Tour ID |
Stop_id | Trip ID |
Inbound | Inbound or outbound trip |
tour_purpose | Tour purpose |
orig_purpose | Trip origin purpose |
dest_purpose | Trip destination purpose |
orig_maz | Origin MAZ |
dest_maz | Destination MAZ |
Parking_maz | Parking MAZ |
universityParking | University parking (1 for true) |
stop_period | Trip period (30min periods see Table) |
trip_mode | Trip mode (see Table) |
Num_participants | Number of participants |
Trip_board_tap | Trip boarding tap |
Trip_alight_tap | Trip alighting tap |
Tour_mode | Tour mode (see Table) |
Set | Transit set ID |
Code | Mode | Description |
---|---|---|
1 | DRIVEALONEFREE | Drive alone free (non-toll) |
2 | DRIVEALONEPAY | Drive alone pay (toll eligible) |
3 | SHARED2GP | Shared-2 general purpose lanes (non-toll, non-HOV) |
4 | SHARED2HOV | Shared-2 HOV-eligible (non-toll) |
5 | SHARED2PAY | Shared-2 pay (HOV and toll eligible) |
6 | SHARED3GP | Shared 3+ general purpose lanes (non-toll, non-HOV) |
7 | SHARED3HOV | Shared 3+ HOV-eligible (non-toll) |
8 | SHARED3PAY | Shared 3+ pay (HOV and toll eligible) |
9 | WALK | Walk |
10 | BIKE | Bike |
11 | WALK_SET | Walk-transit tour, or walk-transit-walk trip |
12 | PNR_SET | Park and Ride transit tour, or PNR-transit-walk if outbound trip, walk-transit-PNR if inbound trip |
13 | KNR_SET | Kiss and Ride transit tour, or KNR-transit-walk if outbound trip, walk-transit-KNR if inbound trip |
14 | SCHBUS | School bus |
ABM Time Period | Time Period Definition |
---|---|
1 | 03:00 AM to 05:00 AM |
2 | 05:00 AM to 05:30 AM |
3 | 05:30 AM to 06:00 AM |
4 | 06:00 AM to 06:30 AM |
5 | 06:30 AM to 07:00 AM |
6 | 07:00 AM to 07:30 AM |
7 | 07:30 AM to 08:00 AM |
8 | 08:00 AM to 08:30 AM |
9 | 08:30 AM to 09:00 AM |
10 | 09:00 AM to 09:30 AM |
11 | 09:30 AM to 10:00 AM |
12 | 10:00 AM to 10:30 AM |
13 | 10:30 AM to 11:00 AM |
14 | 11:00 AM to 11:30 AM |
15 | 11:30 AM to 12:00 PM |
16 | 12:00 PM to 12:30 PM |
17 | 12:30 PM to 01:00 PM |
18 | 01:00 PM to 01:30 PM |
19 | 01:30 PM to 02:00 PM |
20 | 02:00 PM to 02:30 PM |
21 | 02:30 PM to 03:00 PM |
22 | 03:00 PM to 03:30 PM |
23 | 03:30 PM to 04:00 PM |
24 | 04:00 PM to 04:30 PM |
25 | 04:30 PM to 05:00 PM |
26 | 05:00 PM to 05:30 PM |
27 | 05:30 PM to 06:00 PM |
28 | 06:00 PM to 06:30 PM |
29 | 06:30 PM to 07:00 PM |
30 | 07:00 PM to 07:30 PM |
31 | 07:30 PM to 08:00 PM |
32 | 08:00 PM to 08:30 PM |
33 | 08:30 PM to 09:00 PM |
34 | 09:00 PM to 09:30 PM |
35 | 09:30 PM to 10:00 PM |
36 | 10:00 PM to 10:30 PM |
37 | 10:30 PM to 11:00 PM |
38 | 11:00 PM to 11:30 PM |
39 | 11:30 PM to 12:00 AM |
40 | 12:00 AM to 03:00 AM |
The output demand matrices from a run are shown in Demand Matrices in OMX Format and listed in Demand Matrices below.
File | Description | Matrices |
---|---|---|
ctrampTazTrips.omx | TAP level matrices by mode and time-of-day | SOV_[TOD], SOVToll_[TOD], HOV2_[TOD], HOV2Toll_[TOD], HOV3_[TOD], HOV3Toll_[TOD] |
ctrampTapTrips.omx | TAP level matrices by mode and time-of-day | Set1_[TOD], Set2_[TOD], Set3_[TOD] |
ctrampNmTrips.omx | MAZ level matrices for walk and bike mode by time-of-day | Walk_[TOD], Bike_[TOD] |
cvmTrips.omx | CVM TAZ level matrices by mode and time-of-day | CAR_[TOD], SU_[TOD], MU_[TOD] |
externalOD.omx | External model TAZ level matrices by mode and time-of-day | [TOD]_hbw, [TOD]_hbcoll, [TOD]_hbsch, [TOD]_hbo, [TOD]_hbr, [TOD]_hbs, [TOD]_nhbnw, [TOD]_nhbw, [TOD]_truck |
File | Description |
---|---|
trips\tapParks.csv | List of TAPs by number of PNR parkings. |
The TAZ and TAP level assignment results are stored in VISUM version files. The version files store the assignment paths so select-link, select-line, and other on-the-fly analyses can be performed. The assigned version files are:
- TAZ - networks\Highway_Assignment_Results_[tod].ver (see TAZ Assignment Results)
- TAP - networks\Transit_Assignment_Results_[tod]_Set[setid].ver (see TAP Assignment Results)
- MAZ - networks\Bike_Assignment_Results_[tod].ver and networks\Walk_Assignment_Results_[tod].ver (see MAZ Assignment Results) lists commonly used VISUM assignment attributes.
Common Assignment Outputs - Highway_Assignment_Results_[tod].ver, Walk/Bike_Assignment_Results_[tod].ver, Transit_Assignment_Results_[tod]_Set[setid].ver
Field | Description |
---|---|
Link\VolVehPrT | Total assigned link volume |
Link\VCur-PrTSys(Tsys) | Link speed by mode |
Link\VolVeh_TSys(TSys) | Link volume by mode |
Link\TCur_PrTSys(TSys) | Link travel time by mode |
Zone\OTraffic(DSeg) | Zone trips origins by demand segment |
Zone\DTraffic(DSeg) | Zone trips destinations by demand segment |
LineRoute\PTripsUnlinked | Line route unlinked trips |
LineRoute\PTripsUnlinked_Dseg(Dseg) | Line route unlinked trips by demand segment |
StopPoint\PassBoard | Stop point total boardings |
StopPoint\PassAlight | Stop point total alighting |
StopPoint\PassOrigin | Stop point boardings at origin |
StopPoint\PassDestination | Stop point alighting at destination |
StopPoint\PassTransTotal | Stop point total transfers |
StopPoint\PassThroughStop | Stop point through with stop |
StopPoint\PassThroughNoStop | Stop point through without stop |
StopPoint\PassBoard_TSys(TSys) | Stop point total boardings by sub-mode |
A final assignment results version file is created at the end of each run - _Final_SOABM_Assignment_Results.ver. This file contains relevant outputs from the highway assignment, transit assignment and some MAZ-level density measures.
The highway assignment results of interest are link-level flows by time-period (EA, AM, MD, PM, EV and Daily) and mode-segment (autos vs trucks). The link network object of the final assignment results version file includes the following link-level highway assignment output fields:
Output Variable | Mode Segment |
---|---|
EA_Vol_[ModeSeg] | AUTO, TRUCK, WALK, BIKE, TOTAL |
AM_Vol_[ModeSeg] | AUTO, TRUCK, WALK, BIKE, TOTAL |
MD_Vol_[ModeSeg] | AUTO, TRUCK, WALK, BIKE, TOTAL |
PM_Vol_[ModeSeg] | AUTO, TRUCK, WALK, BIKE, TOTAL |
EV_Vol_[ModeSeg] | AUTO, TRUCK, WALK, BIKE, TOTAL |
Daily_Vol_[ModeSeg] | AUTO, TRUCK, WALK, BIKE, TOTAL |
The transit assignment outputs correspond to the following network objects in Visum - Line Route and Stop Point. The relevant output variables from these network objects are read from the output version file for each time-period and skim-set and copied to the final assignment results version file. The following transit assignment output variables are included in the final assignment results version file:
Output Variable | Description |
---|---|
Line Route | |
[tod]_PTripsUnlinked_setID | Unlinked trips |
Stop Point | |
[tod]_PassBoard_setID | Total boardings |
[tod]_PassAlight_setID | Total alightings |
[tod]_PassOrigin_setID | Boardings at origin |
[tod]_PassDestination_setID | Alightings at destination |
[tod]_PassTransTotal_setID | Total transfers |
[tod]_PassThroughStop_setID | Through-passengers with stop |
[tod]_PassThroughNoStop_setID | Through-passengers without stop |
In addition to the highway, non-motorized and transit assignment results, the final assignment results version file also contains the MAZ-level density measures computed by the ABM pre-processing step. The following density fields are included in the final assignment results file:
Output Variable | Description |
---|---|
DUDEN | HH Density (HH per sq mile) |
EMPDEN | Employment density (number of jobs per sq mile) |
TOTINT | Total intersections |
POPDEN | Population density (total population per sq mile) |
RETDEN | Retail density (total retail employment per sq mile) |
The CSV version of the highway and transit assignment files are also exported for easy reference and analysis. The following CSV files are exported:
- HighwayAssignment_Results.csv
- TransitAssignment_Results_LineRoutes.csv
- TransitAssignment_Results_StopPoints.csv
Other CT-RAMP outputs, including key fields, are described below:
- Various accessibility measures by microzone - outputs/other/accessibilities.csv
- Household auto ownership before and after usual work and school location choice - outputs/other/aoResults_pre.csv (before) and outputs/other/aoResults.csv (after)
- Household level model results – outputs/other/householdData_[iteration].csv
- transponder – transponder ownership model result
- cdap_pattern – CDAP model result
- out_escort_choice – outbound escort model result
- inb_escort_choice – inbound escort model result
- jtf_choice – joint tour frequency model result
- Person level model results – outputs/other/personData_[iteration].csv
- value_of_time – value of time
- activity_pattern – CDAP model result
- imf_choice – individual mandatory tour frequency model result
- inmf_choice – individual non-mandatory tour frequency model result
- fp_choice – free parking model result
- reimb_pct – parking reimbursement percent
- Work and school location choice - outputs/other/wsLocResults_[iteration].csv
- EmploymentCategory – employment category
- 1: employed FT
- 2: employed PT
- 3: not employed
- 4: under age 16
- StudentCategory – student category
- 1: student in grade or high school
- 2: student in college or higher
- 3: not a student
- WorkSegment – work segment
- -1: Not a worker
- 0 : Management
- 1 : White Collar
- 2 : Blue Collar
- 3 : Sales
- 4 : Natural
- 5: Production
- 99999: Works from home
- SchoolSegment – school segment
- -1: non-student
- 0: pre-schooler
- 1-8: grade school school district
- 9-16: high school districts
- 17-18: typical and non-typical university student
- 88888: home-schooled
- WorkLocation – work location zone
- WorkLocationDistance – work location distance
- WorkLocationLogsum – work location logsum
- SchoolLocation – school location zone
- SchoolLocationDistance – school location distance
- SchoolLocationLogsum – school location logsum
- EmploymentCategory – employment category
- Shadow price by microzone, market segment, and iteration – outputs/other/ShadowPricingOutput_school_[iteration].csv and outputs/other/ShadowPricingOutput_work_[iteration].csv
- Getting Started
- RunModel bat file
- Networks and Zone Data
- Auto Network Coding
- VDF Definition
- Transit Network Coding
- Non-motorized Network Coding
- Editing Land Use Data
- Running the Population Synthesizer
- Input Checker
- Analyzing Model Outputs
- Commercial Vehicle Model
- External Model
- Model Cost Inputs
- Value of Time
- Person Type Coding Logic
- MSA Feedback
- VMT Computation
- Shadow Pricing Mechanism
- Methodology for Developing TAZ Boundaries
- Methodology for Developing MAZ Boundaries
- Methodology for Developing TAPS
- Source of Land-Use Inputs
- Major University Model (Optional)
- Running Transit Everywhere Scenario
- Building the ABM Java Program
- Debugging ABM Python Code
- ABM Cleaning Protocol
- Updating to New Visum
- Troubleshooting and Debugging