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 GPS (Global Positioning System) 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 SP (stated preferences) data, and this research aims to investigate whether such a model can be estimated and explain adaptive route choice behavior under trajectory information using RP (revealed preferences) 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.

• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/26616
• 
• Supplemental Notes:
  • This document is disseminated under the sponsorship of the Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  New England University Transportation Center

  Massachusetts Institute of Technology
  77 Massachusetts Avenue, Room 40-279
  Cambridge, MA  United States  01239
• Authors:
  • Gao, Song
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: References;
• Pagination: 3p

Subject/Index Terms

• TRT Terms: Choice models; Global Positioning System; Real time information; Revealed preferences; Route choice; Stated preferences; Travel time
• Uncontrolled Terms: Adaptive routing
• Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01501352
• Record Type: Publication
• Report/Paper Numbers: UMAR23-1
• Files: UTC, TRIS, RITA, ATRI, USDOT
• Created Date: Dec 16 2013 2:07PM