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Model Outputs
The key outputs of primary interest will be the two version files under outputs\networks; one version file containing the daily results and one containing the pm peak results. Some additional important notes:
- These files contain the link volumes for the respective assignment period (daily or PM peak) in the attribute: “VolVehPrT(AP)”, along with the path data (results) for that assignment.
- The contain the appropriate skims (peak and daily) for the version file. These include auto and transit. Bike and Walk (for Walk purpose) are not present as they are not assigned. These can be found in the file outputs/omx/bike_skim.omx and walk_skim.omx as matrices. The distance skim is not the shortest path distance, but the distance of the peak or daily auto path.
- Contains Transit and auto assignment path files (used in making flow bundles (select links).
Skims and demand matrices in OMX format are located in /outputs/matrices
. Demand matrices are named demand_daily
, which includes daily trips for auto and transit, and demand_peak
, which includes peak auto trips. When the peak and off-peak transit assignment setting is enabled, demand_peak
will include peak transit demand.
Skims are exported from Visum according to the skim procedures in /visum/procedures
. Auto and Transit skims are saved to one OMX file per time period, while bike and walk distance skims are saved to separate OMX files. Each skim matrix is listed in the table below along with it's OMX file name, Visum matrix name (also used in OMX), JEMnR variable name (also the name of the matrix RData file in /inputs/RData
), Emme matrix number (used to save matrices for the University model in /unimodel/emmemat
).
OMX matrices from Visum are identified by their name, which includes the skim description and mode name. If the mode name is changed or a different skim is to be used, the mapping of Visum skims to JEMnR matrices can be changed in the Settings.csv file.
OMX File | Visum/OMX Matrix Name | JEMnR Matrix | Emme Matrix Number | Description |
---|---|---|---|---|
daily_skim.omx | tCur a | autoTimeOffPeakdriveAlone, autoTimeOffPeakdrivePass, autoTimeOffPeakpass | mf19 | Off-peak congested Auto travel time |
daily_skim.omx | Trip distance a | autoDist | mf21 | Auto distance skim |
daily_skim.omx | In-vehicle time PuT | ivTimeoffPeakbusWalk | mf9 | Off-peak In-vehicle time skim for Bus walk mode |
daily_skim.omx | Origin wait time PuT | waitTimeAoffPeakbusWalk | mf11 | Off-peak First wait time skim for Bus walk mode |
daily_skim.omx | Transfer wait time PuT | waitTimeBoffPeakbusWalk | mf12 | Off-peak Second (transfer) wait time skim for Bus walk mode |
daily_skim.omx | Walk time PuT | walkTimeoffPeakbusWalk | mf10 | Off-peak Walk time skim for Bus walk mode |
daily_skim.omx | Number of transfers PuT | boardingsoffPeakbusWalk | mf14 | Off-peak Transfers skim for Bus walk mode |
daily_skim.omx | Journey distance PuT | tranDist | mf24 | Transit distance skim |
peak_skim.omx | tCur a | autoTimepeakdriveAlone, autoTimepeakdrivePass, autoTimepeakpass | mf20 | Peak congested Auto travel time |
peak_skim.omx | In-vehicle time PuT | ivTimepeakbusWalk | mf9 | Peak In-vehicle time skim for Bus walk mode |
peak_skim.omx | Walk time PuT | walkTimepeakbusWalk | mf10 | Peak Walk time skim for Bus walk mode |
peak_skim.omx | Origin wait time PuT | waitTimeApeakbusWalk | mf11 | Peak First wait time skim for Bus walk mode |
peak_skim.omx | Transfer wait time PuT | waitTimeBpeakbusWalk | mf12 | Peak Second (transfer) wait time skim for Bus walk mode |
peak_skim.omx | Number of transfers PuT | boardingspeakbusWalk | mf14 | Peak Transfers skim for Bus walk mode |
bike_skim.omx | Trip distance Bike | bikeDist | mf23 | Bike distance skim |
walk_skim.omx | Trip distance Walk | walkDist | mf22 | Walk distance skim |
Because the peak and off-peak Emme matrix numbers are the same for both transit time period skims, the off-peak (daily) skims will overwrite the peak skims for the University model.
Skims calculated from other skims are listed by their JEMnR variable name (also the name of the matrix RData file in /inputs/RData
, unless noted).
JEMnR Matrix | Formula | Description |
---|---|---|
lnAutoDist | log(autoDist) | natural log of auto distance |
lnTranDist | log(tranDist) | natural log of transit distance |
lnWalkDist | log(walkDist) | natural log of walk distance |
lnBikeDist | log(bikeDist) | natural log of bike distance |
walkTimewalk | walkDist / walkSpeed * 60 | Walk time using walkSpeed setting, up to maxWalkDistance . NA if longer than max. walk distance. |
bikeTime | bikeDist / bikeSpeed * 60 | Bike time using bikeSpeed setting, up to maxBikeDistance . NA if longer than max. bike distance. |
The University model outputs in CSV format can be found in /unimodel/outputs
. Outputs for each iteration are saved in their respective folders (iter0, iter1, etc.) and the final iteration outputs, iter1
in this case, are copied to the top level of the outputs
directory.
File | Description | Data Dictionary |
---|---|---|
householdsOut.csv | stores the University model's output household table | Link |
personsOut.csv | describes each person in each synthetic household | Link |
workersByOccupationAndTAZ.csv | lists the total employment by occupation for each TAZ | Link |
trips.csv | lists each trip generated by the model | Link |
tours.csv | lists all tours generated by the model | Link |
parkingDemand.csv | total demand (vehicle trips) for each zone, for each time period and market segment | Link |
unmetParkingDemand.csv | Unmet demand by market segment and time period | Link |
The JEMnR scripts generate an HTML report (/modelReport.html
) from the JEMnR demand data, including distribution of workers and autos by household, trips by purpose, trip length distributions, travel time distributions, total vehicle and transit trips, person-miles traveled, and trips by mode. All data is compared to the referenceRun
directory specified in the Settings file. The report excludes trips generated by the University Model.
To calculate total model mode share with trips from the University model, the number of trips using each mode in JEMnR and the University model should be added together. An R script is available to help make this calculation.
Visum output networks are located in /outputs/networks
and include auto and transit assignments by time of day, depending on settings:
-
Assignment_daily.ver
contains Auto and Transit assignment results for the full day ("off-peak" transit if runPeakOffPeakTransitAssignment setting is enabled) -
Assignment_peak.ver
always contains peak Auto assignment results for the PM Peak period. It will also contain peak Transit assignment results if runPeakOffPeakTransitAssignment setting is enabled.
The output version files contain these commonly used outputs:
- Demand and Skim matrices
- Flow bundles for auto and transit assignments
- Links: Auto volumes, transit volumes by link, link travel time and delay, VMT and VHT
- Line Routes: transit boardings by line
- Line Route Items: transit boardings by stop
Unlike SOABM, there are no calculations or re-naming of attributes needed in the output files following assignment. Daily and peak assignments are performed independently and all contents of the version file after assignment are saved to their respective output file name.
R version 3.4.1 is an older version than what may be installed for general use. It is important to note that this version of R reads and writes an older format of RData files. R 3.5 and newer versions can read this older format, but do not write in this format by default. Therefore, modifying RData files in a newer version of R can cause errors if these are meant to be read in R 3.4.1.
A workaround, if necessary, is to point RStudio to R version 3.4.1 by clicking on Tools > Global Options in the top toolbar. Then click Change next to the R Version setting. In the dialog box, click the radio button for Choose a specific version of R, then click Browse and look for the dependencies folder. Select the R 3.4.1 folder.
Attribute | Definition |
---|---|
hh_id | Household ID |
autos | Number of autos (in the case of the university model, this is the number of autos from the synthetic population, not the output from the auto ownership model) |
workers | Number of workers in the household (from popsyn) |
income | Household income (in $2011, from popsyn) |
adults | Adults in household (from popsyn) |
family | 1 if family household, else 0 (from popsyn) |
taz | Household residence TAZ (from popsyn) |
buildingType | 0 - Single Family 1 - Townhouse 2 - Apartment 3 - Mobile home 4 - Group quarters |
debugChoiceModels | 1 if household was selected for debugging, else 0 |
seed | Random number seed for household choice models |
expansionFactor | Household expansion factor |
Attribute | Definition |
---|---|
hh_id | Household ID |
person_id | Person ID |
female | 1 if female, else 0 |
age | Age in years |
occupation | 0 - Management of business, science, and the arts 1 - White collar 2 - Blue collar 3 - Sales and office 4 - Natural resource extraction, construction, and maintenance 5 - Production, transportation, material moving 6 - Military |
workStatus | 0 - Non-worker 1 - Full-time worker 2 - Part-time worker |
studentStatus | 0 - Non-student 1 - Pre-kindergarten student 2 - K-12 student 3 - College student |
majorUniversityStudent | 1 if major university student, else 0 |
majorUniversityWorker | 1 if major university worker, else 0 |
personType | 0 - Full-time worker 1 - Part-time worker 2 - University student 3 - Non-working adult 4 - Retired adult 5 - Driving age student 6 - Pre-driving age student 7 - Pre-school child |
workTaz | Work TAZ if worker |
schoolTaz | School TAZ if student |
autoAvailable | Chosen auto availability; 1 if auto available, else 0 |
parksFreeAtWork | Chosen free parking at work; 1 if parks free, else 0 |
numberOfTours | Number of tours generated by person |
seed | Random number seed for person choice models |
expansionFactor | Expansion factor |
Attribute | Definition |
---|---|
TAZ | TAZ ID |
Occupation_0 | Zonal Employment in Management of business, science, and the arts |
Occupation_1 | Zonal Employment in White collar |
Occupation_2 | Zonal Employment in Blue collar |
Occupation_3 | Zonal Employment in Sales and office |
Occupation_4 | Zonal Employment in Natural resource extraction, construction, and maintenance |
Occupation_5 | Zonal Employment in Production, transportation, material moving |
Occupation_6 | Zonal Employment in Military |
Attribute | Definition |
---|---|
hh_id | Household ID |
person_id | Person ID |
tour_id | Tour ID |
trip_id | Trip ID |
expansionFactor | Expansion factor |
originTaz | Origin zone ID |
destinationTaz | Destination zone ID |
tripMode | 1 - Drive-alone, general purpose 2 - Drive-alone, toll-eligible 3 - Shared ride 2, general purpose 4 - Shared ride 2, toll-eligible 5 - Shared ride 3+, general purpose 6 - Shared ride 3+, toll-eligible 7 - Walk 8 - Bike 9 - Walk-local transit 10 - Walk-premium transit 11 - Park-and-ride transit 12 - Kiss-and-ride transit |
originPurpose | -1 - Home 0 - Work 1 - University 2 - Maintenance 3 - Discretionary |
destinationPurpose | see Purpose codes above |
period | 0 - 3:00 AM to 3:30 AM 1 - 3:30 AM to 4:00 AM 2 - 4:00 AM to 4:30 AM in 30 min increments 45 - 1:30 AM to 2:00 AM 46 - 2:00 AM to 2:30 AM 47 - 2:30 AM to 3:00 AM |
inbound | 1 if trip occurs on inbound tour direction, else 0 |
firstTrip | 1 if first trip on tour, else 0 |
lastTrip | 1 if last trip on tour, else 0 |
originIsTourDestination | 1 if trip origin is tour primary destination, else 0 |
destinationIsTourDestination | 1 if trip destination is tour primary destination, else 0 |
parkingLotTrip |
Attribute | Definition |
---|---|
hh_id | Household ID |
person_id | Person ID |
tour_id | Tour ID |
purpose | 0 - Work 1 - University 2 - Maintenance 3 - Discretionary |
departTime | 0 - 3:00 AM to 3:30 AM 1 - 3:30 AM to 4:00 AM 2 - 4:00 AM to 4:30 AM in 30 min increments 45 - 1:30 AM to 2:00 AM 46 - 2:00 AM to 2:30 AM 47 - 2:30 AM to 3:00 AM |
arriveTime | same as above |
originTaz | Origin TAZ |
destinationTaz | Primary destination TAZ |
parkingTaz | Parking Lot TAZ |
parkingSpaceType | 0 - Faculty/Staff (or N/A) 1 - Student 2 - Visitor |
tourMode | 1 - Drive-alone, general purpose 2 - Drive-alone, toll-eligible 3 - Shared ride 2, general purpose 4 - Shared ride 2, toll-eligible 5 - Shared ride 3+, general purpose 6 - Shared ride 3+, toll-eligible 7 - Walk 8 - Bike 9 - Walk-local transit 10 - Walk-premium transit 11 - Park-and-ride transit 12 - Kiss-and-ride transit |
seed | Random number seed for tour and stop choice models |
expansionFactor | Expansion factor |
numberOutboundStops | Number of stops on outbound tour direction |
numberInboundStops | Number of stops on inbound tour direction |
numberTrips | Number of trips on tour |
outstop_n_inbound | Outbound stop n inbound code (always 0) |
outstop_n_mode | Mode of trip to outbound stop n, see Mode codes above |
outstop_n_period | Departure time period of outbound stop n, see Time Period codes above |
outstop_n_taz | Outbound stop n zone ID |
outstop_n_purpose | Outbound stop n purpose, see Purpose codes above |
outstop_n_seed | Outbound stop n random number seed |
instop_n_inbound | Inbound stop n inbound code (always 1) |
instop_n_mode | Mode of trip to inbound stop n, see Mode codes above |
instop_n_period | Departure time period of inbound stop n, see Time Period codes above |
instop_n_taz | Inbound stop n zone ID |
instop_n_purpose | Inbound stop n purpose, see Purpose codes above |
instop_n_seed | Inbound stop n random number seed |
Attribute | Definition |
---|---|
TAZ | Parking Lot Zone |
spaceType | 0 - Faculty/Staff 1 - Student 2 - Visitor |
facultyStaffDemand_n | Demand for Faculty/Staff spaces for Time Period n, where n is between 1 and 48 |
studentDemand_n | Demand for Student spaces for Time Period n |
visitorDemand_n | Demand for Visitor spaces for Time Period n |
Attribute | Definition |
---|---|
parkingSegment | 0 - Faculty/Staff 1 - Student 2 - Visitor |
period_n | Unmet demand for this segment at Time Period n |