Adaptive Route Choice Modeling in Uncertain Traffic Networks With Real-Time Information

Details

• Creators:
  Gao, Song ; Fisher, Donald
• Corporate Creators:
  University of Massachusetts at Amherst
• Subject/TRT Terms:
  • Route choice
  • Adaptive control
  • Real time information
  • Travel time
  • Choice models
  • Decision making
  • Traveler information and communication systems Research Hub
  • Highways
  • Planning and Forecasting
  • I72: Traffic and Transport Planning
• Publication/ Report Number:
  UMAR21-11
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  New England University Transportation Center
• Abstract:
  The objective of this research was to study travelers' route choice behavior in uncertain traffic networks with real-time information. The research was motivated by two observations of the traffic system: 1) the system is inherently uncertain with random disturbances such as incidents, bad weather, and work zones, and therefore travel times are at most known with uncertainty; and 2) traveler information is or will be available so that travelers could make travel decisions adaptive to the random disturbances to reduce negative effects of uncertainty. Two central research questions focused on were: 1) Can we build and estimate an econometric model for travelers' en route updating of route choices? 2) Can such a model provide more realistic prediction of travelers’ route choices than existing ones? A state preference survey was conducted to measure two aspects of the subjects’ route choice behavior: risk attitude and strategic thinking.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/26614/dot_26614_DS1.pdf
• File Type:
  [PDF - 235.73 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:5bbcc940947746b90d02c0b942eddad8eabada98f993c5da1a92238223a5004e41109331851b5dd6ac0a9dd8dae3a5e0f7de0e1eef71e9b7fda05e88a8a80ab5