Investigation of Key Safety Measures for Pre- and Post-Deployment of Connected and Automated Vehicles

This project will focus on understanding how safety-related metrics will likely change after the deployment of connected and automated vehicles (CAVs). As part of this project, first the research team will investigate the capabilities of the CAVs that are currently developed to date. Next, the team will identify which safety metrics and associated performance measures, will be impacted by the deployment of new technologies, such as number of voluntary or mandatory take overs, crash frequency, etc. Next, the team will investigate the operational domains and scenarios that these measures will be impacted and determine the magnitude of expected impact. The team will also estimate the expected thresholds of the safety performance metrics. For example, the time to collision (TTC) threshold may be significantly lower for CAV/human-driven vehicles than for pairs of human-driven vehicles. The findings of this study will be important for state DOT or local agencies to evaluate the safety performance of their highway systems.

Language

• English

Project

• Status: Active
• Funding: $326243
• Contract Numbers:

  69A3552348307

• 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:

  Mid-America Transportation Center

  University of Nebraska-Lincoln
  2200 Vine Street, PO Box 830851
  Lincoln, NE  United States  68583-0851
• Performing Organizations:

  University of Kansas, Lawrence

  1530 West 15th Street
  Lawrence, KS  United States  66045
• Principal Investigators:

  Kondyli, Alexandra

  Schrock, Steven D.

• Start Date: 20230601
• Expected Completion Date: 20240731
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Forecasting; Highway safety; Metrics (Quantitative assessment); Performance measurement; Predictive models
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01908385
• Record Type: Research project
• Source Agency: Mid-America Transportation Center
• Contract Numbers: 69A3552348307
• Files: UTC, RIP
• Created Date: Feb 19 2024 4:23PM