Development of a Pedestrian Collision Avoidance System for Connected and Autonomous Vehicles with Cooperative Perception

This research proposal aims to enhance pedestrian safety by developing a novel Pedestrian Collision Avoidance System that integrates Connected Vehicle (CV) technology with cooperative perception for Connected and Autonomous Vehicles (CAVs). Spearheaded by Morgan State University and the University of Maryland, College Park, the project leverages advanced sensors and real-time data transmission to better detect and respond to pedestrian movements, particularly those that are sudden and unexpected. By creating a dynamic communication framework between vehicles and roadside infrastructures, this system promises to significantly improve CAVs' responsiveness to pedestrians, thereby reducing the incidence of collisions and enhancing overall traffic safety.

• Record URL:
  https://www.morgan.edu/national-transportation-center/the-smarter-center-(2023-2029)/research/development-of-a-pedestrian-collision-avoidance-system-for-connected-and-autonomous-vehicles-with-cooperative-perception

Language

• English

Project

• Status: Active
• Contract Numbers:

  69A3552348303

• Sponsor Organizations:

  Sustainable Mobility and Accessibility Regional Transportation Equity Research Center

  Morgan State University
  Baltimore, MD  United States 

  Office of the Assistant Secretary for Research and Technology

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

  Morgan State University

  1700 E. Cold Spring Lane
  Baltimore, MD 21251, Maryland  United States  21251

  University of Maryland, College Park

  3112 Lee Building
  College Park, MD  United States  20742
• Principal Investigators:

  Yang, Di

  Jeihani, Mansoureh

  Yang, Xianfeng

• Start Date: 20240901
• Expected Completion Date: 20250901
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Crash avoidance systems; Pedestrian detectors; Pedestrian safety
• Subject Areas: Data and Information Technology; Highways; Pedestrians and Bicyclists; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01932170
• Record Type: Research project
• Source Agency: Sustainable Mobility and Accessibility Regional Transportation Equity Research Center
• Contract Numbers: 69A3552348303
• Files: UTC, RIP
• Created Date: Sep 27 2024 3:01PM