Enhancing Road Safety Through Video Analytics and Connected and Automated Vehicles (CAV)

The potential of connected vehicles to revolutionize road safety and traffic management is widely acknowledged. However, there is a critical gap in leveraging video analytics in conjunction with connected vehicles to push real-time alerts to drivers, aiming at preventing crashes. Despite the promising results of connected vehicle technology in crash prevention, previous research has been hindered by the lack of a seamless connection to smart vehicles. Therefore, the focus of this proposed research seeks to address the question: "Can advancements in video analytics be effectively integrated with connected vehicle technology to enable the realtime transmission of safety alerts to drivers, thus enhancing crash prevention measures?"

Language

• English

Project

• Status: Active
• Sponsor Organizations:

  Michigan Department of Transportation

  Van Wagoner Building
  425 W. Ottawa Street
  Lansing, MI  United States  48909
• Performing Organizations:

  University of Michigan, Ann Arbor

  Department of Civil and Environmental Engineering
  2350 Hayward
  Ann Arbor, MI  United States  48109-2125
• Start Date: 20250701
• Expected Completion Date: 20261231
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Crash avoidance systems; Driver support systems; Highway safety; Video
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01957462
• Record Type: Research project
• Source Agency: Michigan Department of Transportation
• Files: RIP, STATEDOT
• Created Date: Jun 6 2025 2:55PM