Cost Benefit Analysis of an Infrastructure-Vehicle Cooperative Perception System

In this project, the research team proposes to apply an infrastructure-vehicle cooperative perception system to evaluate its potential benefits for safety, mobility, and environment. The system consists of one portable infrastructure Lidar detection system and two connected and automated vehicles (CAVs). The system will be deployed on different types of roads (e.g., signalized intersection, highway segment, roundabout, and pedestrian crosswalk) and under various traffic conditions. Cooperative perception data will be collected with various sensors in different configurations and coordination. Data from multiple sources will be synchronized and fused to generate detection results. Based on the processed data, the team will analyze the benefit of the cooperative system from safety (e.g., reduced traffic crashes and conflicts), mobility (e.g., improved intersection operation efficiency), and environment (e.g., reduced fuel consumption and emission) perspectives. The deployment costs will also be estimated.

• Record URL:
  https://ccat.umtri.umich.edu/research/purdue/cost-benefit-analysis-of-an-infrastructure-vehicle-cooperative-perception-system/

Language

• English

Project

• Status: Active
• Funding: $300000
• Contract Numbers:

  69A3552348305

• 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:

  University of Michigan Transportation Research Institute

  2901 Baxter Road
  Ann Arbor, Michigan  United States  48109
• Project Managers:

  Stearns, Amy

  Bezzina, Debra

• Performing Organizations:

  Purdue University, Lyles School of Civil Engineering

  550 Stadium Mall Drive
  West Lafayette, IN  United States  47907
• Principal Investigators:

  Feng, Yiheng

  Wang, Ziran

  Tarko, Andrew

• Start Date: 20240601
• Expected Completion Date: 20250531
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Benefit cost analysis; Connected vehicles; Data fusion; Environmental impacts; Laser radar; Mobility; Traffic safety
• Subject Areas: Data and Information Technology; Environment; Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01929526
• Record Type: Research project
• Source Agency: Center for Connected and Automated Transportation
• Contract Numbers: 69A3552348305
• Files: UTC, RIP
• Created Date: Sep 5 2024 10:21AM