Experimental Studies of Traffic Incident Management with Pricing, Private Information, and Diverse Subjects

The effective management of traffic incidents and other irregular disruptions on roadways is key to minimizing travel delay and improving the quality of life for urban residents and businesses. The authors are currently using economic experiments involving human subjects and a networked, realistic driving simulation to study driver behavior in response to information displayed by variable message systems and to dynamic road pricing schemes. Based on their existing results, the authors propose four new extensions to the study: the addition of more realistic driving mechanics to test driver responses to treatments under increased cognitive load, the recruitment of subjects outside the University of California, Irvine (UCI) student body to confirm the validity of the results with different demographic groups, the implementation of treatments to study the impact of private information messaging systems (e.g. Waze, Google Maps, etc.), and the implementation of treatments to study a novel value-of-time based auction system for toll lane pricing and allocation. Improvements to the driving realism and the representativeness of the experimental subject pool will strengthen the robustness and validity of the study’s results, while the investigation of private information messaging and value-of-time auction scenarios will shed light on their potential for improving transportation management.

• Record URL:
  • http://ucconnect.berkeley.edu/sites/default/files/file_uploads/Experimental%20Studies%20of%20Traffic-Brownstone.pdf
• 
• Corporate Authors:

  University of California Center on Economic Competitiveness in Transportation (UCCONNECT)

  University of California, Berkeley
  Berkeley, CA  United States  94720-1782

  California Department of Transportation

  Division of Research, Innovation and System Information
  P.O. Box 942873, MS 83
  Sacramento, CA  United States  94273-0001

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Brownstone, David
  • McBride, Michael
  • Kong, Si-Yuan
  • Mahmassani, Amine
• Publication Date: 2018-9-11

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; Maps; References; Tables;
• Pagination: 79p

Subject/Index Terms

• TRT Terms: Advanced driver information systems; Drivers; Driving simulators; Incident management; Road pricing; Variable message signs
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01854656
• Record Type: Publication
• Report/Paper Numbers: TO50
• Files: TRIS, ATRI, USDOT, STATEDOT
• Created Date: Aug 15 2022 8:44AM