Modeling Driver Heterogeneity in Route Choice Behavior Based on a Real-Life Naturalistic Driving Experiment

An efficient Intelligent Transportation System (ITS) necessitates proper understanding, and consequent prediction, of driver travel behavior which is heterogeneous by nature. Accordingly, this work uses data from a naturalistic real-life experiment to explore factors of driver route choice heterogeneity that can be attributable to variables of driver demographics, personality traits, and route choice characteristics. In a number of recent publications, the authors were able to identify significant relations between these variables and route choice behavior; both in a driving simulator experiment and in a real-world route choice experiment. In this work the authors explore the effects of the same variables on driver route switching behavior and driver choice set size, in a naturalistic real-life experiment. This work is based on more than 5,750 route choices made by 39 drivers in 68 choice situations. Most trips were commute trips. The results of the developed models are in accordance with the earlier publications and present evidence that driver demographics, personality traits and choice situation characteristics are significant in predicting route switching behavior and choice set size.

• Supplemental Notes:
  • Abstract reprinted with permission from Intelligent Transportation Society of America.
• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Tawfik, Aly M
  • Rakha, Hesham A
  • Du, Jianhe
• Conference:
  • 19th ITS World Congress
  • Location: Vienna , Austria
  • Date: 2012-10-22 to 2012-10-26
• Publication Date: 2012

Language

• English

Media Info

• Media Type: Digital/other
• Features: CD-ROM; Figures; Maps; References; Tables;
• Pagination: 11p
• Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012

Subject/Index Terms

• TRT Terms: Automatic data collection systems; Drivers; Experiments; Heterogeneity; Intelligent transportation systems; Route choice; Travel behavior
• Subject Areas: Highways; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01501776
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 23 2013 7:52AM