Mixed Method Approach to Develop a Framework for Adoption of Intelligent Speed-Assist Technology (ISAT)

The goal of this research is to help the California State Senate, Assembly, and other public agency staff throughout California, make informed decisions about adopting policies around Intelligent Speed-Assist Technology (ISAT) by researching potential benefits and costs associated with various policies in appropriate contexts. Specific objectives include: (1) Analyze and document the status and outcomes of initiatives around ISAT adopted by jurisdictions around the world and contexts where such implementations have been most successful. (2) Analysis of speeding-related collision data to document potential benefits of speed governors and ISAT deployment in different contexts. (3) Helping identify the varying contexts and users for whom ISAT should be used, not only based on the existing technologies but also considering political opposition.

Language

  • English

Project

  • Status: Active
  • Funding: $56443
  • Contract Numbers:

    69A3552348336

  • 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:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Project Managers:

    Stearns, Amy

  • Performing Organizations:

    San Diego State University

    5500 Campanile Dr
    San Diego, CA  United States  92182
  • Principal Investigators:

    Appleyard, Bruce

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

Subject/Index Terms

Filing Info

  • Accession Number: 01923806
  • Record Type: Research project
  • Source Agency: Center for Pedestrian and Bicyclist Safety
  • Contract Numbers: 69A3552348336
  • Files: UTC, RIP
  • Created Date: Jul 8 2024 2:54PM