Drivers' Asynchronous Day-to-Day Route Choices with Information Provision

With the diffusion of information and communication technologies into the transportation sector, more traffic information will be available to drivers. In an advanced traveler information system, interactions among road networks, drivers, and traffic information could impact safety, efficiency, environmental, and other characteristics of the overall transportation system. In this project, we propose a new modeling framework to systematically study how information provision would impact drivers' day-to-day route choice decisions. In this framework, individual drivers have heterogeneous decision intervals and how drivers respond to different information provision schemes. With simulations and theoretical investigations, we will study stability and efficiency of the overall transportation system under different demand levels, information provision schemes, and distribution of drivers' decision intervals. This project could lead to more insights on impacts of information provision on drivers' behaviors in transportation networks. Through this project, we will develop a set of theoretical, simulation, and experimental tools for studying drivers' route choice behaviors. The developed tools and gained insights could be helpful for understanding how such new technologies as inter-vehicle communications can help reduce congestion and emissions through proper route guidance.

Language

• English

Project

• Status: Completed
• Funding: $92376.00
• Contract Numbers:

  7491

• Sponsor Organizations:

  California Department of Transportation

  1227 O Street
  Sacramento, CA  United States  95843

  Department of Transportation

  Research and Special Programs Administration
  1200 New Jersey Avenue, SE
  Washington, DC    20590
• Performing Organizations:

  University of California Transportation Center (UCTC)

  University of California, Berkeley
  2614 Dwight Way, 2nd Floor
  Berkeley, CA  United States  94720-1782

  University of California, Irvine

  Institute of Transportation Studies
  4000 Anteater Instruction and Research Building
  Irvine, CA  United States  92697
• Principal Investigators:

  Jin, Wenlong

• Start Date: 20100801
• Expected Completion Date: 0
• Actual Completion Date: 0
• Source Data: RiP Project 27981

Subject/Index Terms

• TRT Terms: Advanced traveler information systems; Driver information systems; Information technology; Route choice; Telecommunications
• Uncontrolled Terms: Day-to-day variability
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01468071
• Record Type: Research project
• Source Agency: University of California Transportation Center (UCTC)
• Contract Numbers: 7491
• Files: UTC, RIP, USDOT, STATEDOT
• Created Date: Jan 3 2013 3:44PM