Robust Routing, Assignment, and Simulation of Transit Systems

Transit system complexity is a function not just of the infrastructure but is strongly tied to user behavior, which is driven by perception of the quality of service (in experiencing waiting, transfers, and travel time variability), which is not always an accurate reflection of the true quality of service. The variability and inconsistency (with reality) of these perceptions can be captured in part by correlating the multiple data sources, observing travel patterns and modeling user behavior under uncertainty. The effect of service reliability and accessibility will be investigated toward development of route choice, stop choice, and departure time choice models. Stochastic multimodal network and user behavior models will be leveraged toward the development of routing, assignment, and simulation models for ridership estimation and performance analysis. Robust analysis tools will be developed that take into account system characteristics that are a function of the performance of the auto network, models passenger flow in the network under stochastic rules and predicts system wide travel patterns. Such models will enhance decisions made by transit agencies when allocating resources toward additional capacity, schedule updates, and stop/station location in the long term; and stop skipping, rerouting, and vehicle holding as real-time operational decision.

• Supplemental Notes:
  • Contract to a Performing Organization has not yet been awarded.

Language

• English

Project

• Status: Active
• Funding: $95000
• Sponsor Organizations:

  Center for Advanced Multimodal Mobility Solutions and Education

  University of North Carolina, Charlotte
  Charlotte, NC  United States  28223
• Managing Organizations:

  University of North Carolina, Charlotte

  Department of Civil and Environmental Engineering
  9201 University City Boulevard
  Charlotte, NC  United States  28223-0001
• Project Managers:

  Fan, Wei

• Performing Organizations:

  University of Connecticut, Storrs

  Department of Civil and Environmental Engineering
  Storrs, CT    06268-5202
• Principal Investigators:

  Lownes, Nicholas

• Start Date: 20170120
• Expected Completion Date: 20180930
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Choice models; Decision making; Performance measurement; Public transit; Quality of service; Resource allocation; Ridership; Route choice; Simulation; Stochastic processes; Traffic assignment
• Subject Areas: Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01625948
• Record Type: Research project
• Source Agency: Center for Advanced Multimodal Mobility Solutions and Education
• Files: UTC, RiP
• Created Date: Feb 14 2017 12:12PM