Trajectory-Adaptive Route Choice Models: Specification, Choice Set Generation, and Estimation

The objective of the research is to investigate adaptive route choice behavior using individual-level route choice data from Global Positioning System (GPS) observations in a real-life network, where a traveler could revise the route choice based upon trajectory information, defined as experienced travel times along the traversed road segments. Traffic networks are inherently uncertain with random disruptions such as incidents and bad weather, and real-time information on realized traffic conditions could potentially help reduce the uncertainty and thus travelers could adjust route choices accordingly. Previous studies have shown that an adaptive route choice model can be estimated in hypothetical, simplified networks with stated preferences (SP) data, and this research aims to investigate whether such a model can be estimated and explain adaptive route choice behavior under trajectory information using revealed preferences (RP) data. The major tasks are to specify a random utility model for adaptive route choice in a general network, design and implement computer algorithms to generate the choice set where the alternatives are trajectory-adaptive routing strategies, and estimate the model against GPS data using existing estimation software. The research will contribute to the state of the art by estimating the first adaptive route choice model using RP data and providing computer algorithms for adaptive route generation with realistic information access assumptions.


    • English


    • Status: Active
    • Contract Numbers:



    • Sponsor Organizations:

      Research and Innovative Technology Administration

      Department of Transportation
      1200 New Jersey Avneue, SE
      Washington, DC  United States  20590
    • Principal Investigators:

      Gao, Song

    • Start Date: 20100901
    • Expected Completion Date: 0
    • Actual Completion Date: 20120831
    • Source Data: RiP Project 29323

    Subject/Index Terms

    Filing Info

    • Accession Number: 01480735
    • Record Type: Research project
    • Source Agency: New England University Transportation Center
    • Contract Numbers: DTRT07-G-0001, UMAR23-1
    • Files: UTC, RiP
    • Created Date: May 7 2013 1:01AM