Vehicle to Infrastructure (V2I) and Vehicle to Vehicle (V2V) passenger and freight vehicle applications to enhance safety and efficiency in coastal evacuations

Cooperative Forward Collision Warning alerts drivers of risk of frontal collisions, including head-on and rear-end collisions with vehicles ahead [1]. This system, which uses cameras and radars to detect collision threats, is a valuable V2I and V2V technology that can enhance both system efficiency and safety. It has been theorized that such technologies could be particularly valuable to enhance transportation system resilience in coastal regions, both for evacuations and for response and recovery. During evacuations transportation network efficiency is vital to reduce the evacuation time and minimize potential loss of life. Prior research has quantified the benefits of Connected and Automated Vehicle (CAV) technology supported by V2I and V2V communications ([4]; [5]). Unfortunately, this prior work was limited in that it used microsimulation analysis and associated assumptions, ignoring driver behavioral factors. The research proposed in this study seeks to address this limitation by using a driving simulator to assess and understanding how drivers interact with V2V and V2I advisories during emergency evacuation scenarios. The study will employ a full-scale driving simulation to create environments within which drivers’ acceptance/responses to V2V warnings and V2I warnings will be observed. Multiple scenarios that include a range of adverse weather (e.g., heavy rain, wind etc.) and warning types (e.g., V2V and V2I) will be examined. As there are also many factors (such as gender, age, warning types, etc.) which also influence driver behavior, a factorial design will be employed to create test scenarios with interaction between multiple stimulus conditions. Driver performance indicators will include acceleration and deceleration, average speed, braking behavior, lane change maneuver, time-to-collision etc. in routine and emergency conditions

Language

• English

Project

• Status: Completed
• Funding: $138778
• Contract Numbers:

  69A3551747130

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Maritime Transportation Research and Education Center

  University of Arkansas
  Fayetteville, AR  United States  72701
• Performing Organizations:

  Louisiana State University

  3660G Patrick F. Taylor Hall
  Civil and Environmental Engineering
  Baton Rouge, LA  United States  70803
• Principal Investigators:

  Hassan, Hany

• Start Date: 20220801
• Expected Completion Date: 20230930
• Actual Completion Date: 20230930

Subject/Index Terms

• TRT Terms: Driver performance; Driving simulators; Evacuation; Warning systems; Wireless communication systems
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01854579
• Record Type: Research project
• Source Agency: Maritime Transportation Research and Education Center
• Contract Numbers: 69A3551747130
• Files: UTC, RIP
• Created Date: Aug 11 2022 7:38PM