Dynamic Origin-Destination estimation (DODE) under incidents using individual trajectories data
Travel behavior in route choices under incidents will be modeled based on a disutility function for individuals and the calibrated regional network model. The research team will design a methodology to simulate the traffic and estimate dynamic origin-destination (O-D) demand on the real time basis. The simulation adopts the historical traffic demand as an initial (base) demand and their pre-scribed route choices from the dynamic network model in the existing meso-scopic simulation tool (MAC-POSTS).
- Record URL:
Language
- English
Project
- Status: Completed
- Funding: $129677
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Contract Numbers:
69A3551747111
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Sponsor Organizations:
National University Transportation Center for Improving Mobility (Mobility21)
Carnegie Mellon University
Pittsburgh, PA United States 15213Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
National University Transportation Center for Improving Mobility (Mobility21)
Carnegie Mellon University
Pittsburgh, PA United States 15213 -
Project Managers:
Kline, Robin
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Performing Organizations:
Carnegie Mellon University
Pittsburgh, PA United States -
Principal Investigators:
Qian, Sean
- Start Date: 20220701
- Expected Completion Date: 20230630
- Actual Completion Date: 20230901
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Origin and destination; Route choice; Traffic simulation; Trajectory; Travel demand
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01893314
- Record Type: Research project
- Source Agency: National University Transportation Center for Improving Mobility (Mobility21)
- Contract Numbers: 69A3551747111
- Files: UTC, RIP
- Created Date: Sep 15 2023 3:31PM