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
• Description:
  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.
• 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