Economical Acquisition of Intersection Data to Facilitate CAV Operations

Connected and automated vehicles (CAVs) provide an opportunity for improving safety and reducing pollution, energy consumption, and travel delay. Past and ongoing studies are investigating the operations of CAVs at various subsystems of the transportation system, including freeway weaving sections and urban intersections. In order to make operations decisions, however, more cost-effective ways of obtaining and distributing infrastructure data are needed. Unfortunately, existing deployment methods of data collection and delivery are time-consuming and costly. This research is investigating alternative cost-effective ways of collecting intersection data to facilitate traffic operations in the prospective era of CAVs. The research is determining the cost to deploy equipment that will make SPaT and MAP data more likely useful to mobile devices.

Language

  • English

Project

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

    69A3551747105

  • 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:

    Center for Connected and Automated Transportation

    University of Michigan, Ann Arbor
    Ann Arbor, MI  United States  48109
  • Project Managers:

    Tucker-Thomas, Dawn

    Bezzina, Debra

  • Performing Organizations:

    Purdue University, Lyles School of Civil Engineering

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

    Labi, Samuel

    Krogmeier, James

    Abbas, Montasir

  • Start Date: 20220401
  • Expected Completion Date: 20230331
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01846012
  • Record Type: Research project
  • Source Agency: Center for Connected and Automated Transportation
  • Contract Numbers: 69A3551747105
  • Files: UTC, RIP
  • Created Date: May 20 2022 2:35PM