Trajectory-adaptive route choice models : specification, choice set generation, and estimation.

Details

• Creators:
  Gao, Song
• Corporate Creators:
  University of Massachusetts at Amherst
• Subject/TRT Terms:
  • Route choice
  • Choice models
  • Adaptive control
  • Global Positioning System
  • Real time information
  • Traveler information and communication systems
  • Software
  • Travel time
  • Revealed preferences
  • Stated preferences
• Publication/ Report Number:
  UMAR23-1
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  New England University Transportation Center
• Abstract:
  The objective of the research is to investigate adaptive route choice behavior using individuallevel 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.
  More +
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/26616/dot_26616_DS1.pdf
• File Type:
  [PDF - 224.51 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:7f0d3dae7a4e020454f056a1c2e063770178faf8ca790eed3efa8b49ffda239e