Modeling En-Route Driver Diversion Behavior with Advanced Traveler Information System: a Descriptive Bayesian Approach

This paper presents a Bayesian approach for modeling and calibrating drivers’ en-route route changing decision with behavior data collected from laboratory driving simulators and field blue-tooth detectors. The behavior models are not based on assumptions of perfect rationality. Instead a novel descriptive approach based on naive Bayes rules is proposed and demonstrated. The en-route diversion model is first estimated with behavior data from a driving simulator. Subsequently, the model is re-calibrated for Maryland based on blue-tooth detector data, and applied to analyze two dynamic message sign (DMS) scenarios on I-95 and I-895. This calibration method allows researchers and practitioners to transfer the en-route diversion model to other regions based on local observations. Future research can integrated this en-route diversion model with microscopic traffic simulators, dynamic traffic assignment models, and/or activity/agent-based travel demand models for various traffic operations and transportation planning applications.

• Availability:
  • Find a library where document is available. Order URL: http://www.its-jp.org/english/congress_e/
• Supplemental Notes:
  • Abstract used with permission of ITS Japan. Paper No. 4091.
• Corporate Authors:

  ITS Japan

  Tokyo,   Japan 
• Authors:
  • Xiong, Chenfeng
  • Zhang, Lei
• Conference:
  • 20th ITS World Congress
  • Location: Tokyo , Japan
  • Date: 2013-10-14 to 2013-10-18
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 10p
• Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

• TRT Terms: Advanced traveler information systems; Bayes' theorem; Decision making; Drivers; Route choice; Traffic diversion; Traffic simulation; Travel behavior
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01539473
• Record Type: Publication
• ISBN: 9784990493981
• Files: TRIS
• Created Date: Sep 29 2014 10:02AM