Connected Vehicle Wrong-Way Driving Detection and Mitigation Demonstration-Phase II : Project Summary

Details

• Alternative Title:
  0-6867-01 : Connected Vehicle Wrong-Way Driving Detection and Mitigation Demonstration-Phase II, PROJECT SUMMARY
• Creators:
  Finley, Melisa D. (Melisa Dayle)
• Corporate Creators:
  Texas A&M Transportation Institute ; Southwest Research Institute
• Corporate Contributors:
  Texas. Dept. of Transportation. Research and Technology Implementation Office
• Subject/TRT Terms:
  • Intelligent vehicles
  • Vehicle to roadside communications
  • Mobile communication systems
  • Intelligent transportation systems
  • Wrong way driving
  • Driver errors
  • Connected Vehicles
  • Automated vehicles
  • Wrong-Way Driving Detection
• Publication/ Report Number:
  0-6867-01
• Resource Type:
  Tech Report
• Geographical Coverage:
  Texas ; United States
• Corporate Publisher:
  Texas A&M Transportation Institute
• Abstract:
  Connected vehicles (CVs) and their integration with transportation infrastructure provide new approaches to wrong-way driving (WWD) detection, warning, verification, and intervention that will help practitioners further reduce the occurrence and severity of WWD crashes. In Phase I, the research team reviewed the state of the practice regarding intelligent transportation systems and CV technologies being applied as WWD countermeasures. The research team then identified user needs associated with the implementation of a CV WWD system, assessed motorist understanding of wrong-way driver warning messages posted on dynamic message signs, and ascertained preliminary ways to connect with law enforcement. Phase I culminated in the development of a concept of operations, functional requirements, and high-level system design for CV applications that detect wrongway vehicles, notify traffic management agencies and law enforcement, and alert affected travelers.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/34878/dot_34878_DS1.pdf
• File Type:
  [PDF - 486.24 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:bf9da1a89bf9c28e620dd9e01a61e6875c8a3328a4de6497b1522602ee2812e7