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Trans Modeler

Trans Modeler

TransModeler lets you create and manage multiple projects, networks, demand profiles, and traffic signal control strategies for alternatives analysis. With TransModeler you can:

 

  • Import simulation data from Corsim and SimTraffic
  • Manage a variety of input files for multiple scenarios
  • Share project databases, traffic signal timing plans, and other input data between multiple projects
  • Export subareas of larger networks to simulate traffic operations on a more localized scale
  • Compare output results from multiple simulation runs
  • Generate nicely formatted reports, maps, and charts for inclusion in reports and presentation slides 

 

TransModeler boasts a vast and growing array of features that extends well beyond traffic simulators that came before it:

  • Map desire lines representing traffic volumes between origin-destination pairs to convey otherwise hidden patterns in simulated trip tables.
  • Conduct all your trip table estimation and development efforts inside TransModeler with a comprehensive set of matrix editing and computation tools.
  • Compute shortest path matrices among a set of chosen origins and destination s so that, with a trip matrix, you can analyze trip length distributions in wide area models.
  • Browse the full list of simulated trips and their paths in a map while filtering and sorting based on origin, destination, path, number of occupants, departure time, or any of a long list of driver, vehicle, and trip tables.
  • Define arterial and corridor segments with interactive graphical editing tools to customize segment and corridor level-of-service reports consistent with Highway Capacity Manual definitions.
  • Generate colorful and illustrative trip departure and arrival rate histograms.
  • Query trip statistics and measures of effectiveness (MOEs) by origin, destination, path, vehicle type, or any combination of driver, vehicle, and trip attributes when generating reports.
  • Generate tables, reports, charts, and thematic maps for individual runs or aggregated across multiple runs.
  • Compute calibration statistics that characterize goodness of fit over time series data so that you can calibrate your model to match both the average and variance in observed field conditions.
  • Dispatch new trips from anywhere in the network or divert trips en route to alternate destinations for modeling incident and hazard response or evacuation scenarios.
  • Monitor public transportation service details, including schedule adherence and passenger information, during simulation at the route, stop, or vehicle level.
  • Create a full and accurate picture of queues in a way that no other simulation model allows. Use interactive tools to illustrate in a map the ebb and flow of queues as spillback trees that dissipate from the head and that branch in multiple directions upstream over time.
 

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