Potential Reduction of Fatal Crashes in South Carolina due to Connected and Automated Vehicles

Description: Traffic fatalities consistently rank South Carolina among the highest rates for fatalities per vehicle miles of travel (VMT) and fatalities per 100,000 population in the United States. Furthermore, South Carolina incurs over 4.5 billion dollars in economic loss annually due to roadway traffic crashes (SCDPS, 2018). In 2018, there were 158,777 reported motor vehicle crashes in South Carolina resulting in 1,034 fatalities and 58,044 injuries. Smart driving technologies have the potential to change the safety paradigm with regard to traffic fatalities. In this research, the investigators propose to study the potential safety impacts of connected and automated vehicles (CAVs) on fatal crash occurrence in South Carolina. The research team proposes to study how different levels of autonomy and different levels of market penetration of CAVs can reduce certain types of fatal crashes. Intellectual Merit: There has been a tremendous amount of safety research that has been done over the years. While research on safety continues to be at the forefront of transportation research dollars, fatal crash frequency and fatal crash rates are on an upward trend. A new paradigm is needed to really impact safety and make a vision of 0 roadway fatalities a reality. The greatest contributor to fatal crashes (and all crashes for that matter) is by far the driver. Over 90% of crashes and of fatal crashes can be attributed in whole or in part to the driver. Taking the driver out of the equation is the only way to really eliminate or at least dramatically reduce fatal crash incidence in South Carolina (and the US). Definitive research to quantify the reduction in fatal crashes can help to proliferate CAV technologies in the future. Broader Impacts: The overall research goal is to help state departments of transportation (DOTs) dramatically reduce the number and rate of fatal crashes. This will in-turn improve overall safety of the nation’s roads. Other objectives of the proposed research include: (1) identifying how safety-related driving parameters for CAVs differ across varying levels of autonomy; (2) examining how these parameters lead to different crash outcomes (e.g., no crash, non-fatal crash) compared to known fatal crashes from the last three years in SC; (3) identifying CAV capabilities most effective in reducing fatal crashes; (4) identifying future research initiatives related to this initial research work; (5) helping DOTs to establish priorities for infrastructure investments and policies for implementation of CAV capabilities; and (6) influencing automakers to incorporate those CAV capabilities in automobiles that would have the greatest impact on fatal crash rates.

    Language

    • English

    Project

    • Status: Active
    • Funding: $158163
    • Contract Numbers:

      69A3551747117

    • Sponsor Organizations:

      Office of the Assistant Secretary for Research and Technology

      University Transportation Centers Program
      Department of Transportation
      Washington, DC  United States  20590

      Center for Connected Multimodal Mobility

      Clemson University
      Clemson, SC  United States  29634

      Clemson University

      110 Lowry Hall
      Box 340911
      Clemson, SC  United States  29634-0911

      The Citadel

      Department of Civil and Environmental Engineering
      171 Moultrie Street
      Charleston, SC  United States  29409
    • Managing Organizations:

      Clemson University

      110 Lowry Hall
      Box 340911
      Clemson, SC  United States  29634-0911
    • Project Managers:

      Sarasua, Wayne

    • Performing Organizations:

      Clemson University

      110 Lowry Hall
      Box 340911
      Clemson, SC  United States  29634-0911

      The Citadel

      Department of Civil and Environmental Engineering
      171 Moultrie Street
      Charleston, SC  United States  29409
    • Principal Investigators:

      Sarasua, Wayne

      Michalaka, Dimitra

      Murray-Tuite, Pamela

      Brown, Kweku

      Ogle, Jennifer

      Davis, William

    • Start Date: 20200915
    • Expected Completion Date: 20220531
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers

    Subject/Index Terms

    Filing Info

    • Accession Number: 01838153
    • Record Type: Research project
    • Source Agency: Center for Connected Multimodal Mobility
    • Contract Numbers: 69A3551747117
    • Files: UTC, RIP
    • Created Date: Mar 4 2022 3:11PM