Crash Modification Factors for Automated Traffic Signal Performance Measures

Automated traffic signal performance measures (ATSPM) offer an alternative approach to traditional signal timing. ATSPM have been shown to help state departments of transportation (DOTs) and local transportation agencies improve operations at signalized intersections through reduced split failures, arrivals on red, red light running, and delays. The right-of-way time allocated to different modes and movements can significantly impact behavior – drivers willing to take smaller gaps, pedestrians waiting for the walk signal, or bicyclists clearing an intersection. While not a true adaptive solution, ATSPM allow agencies to make near-real-time adjustments based on data from the field. Research is needed to assist DOTs and local transportation agencies with quantifying the safety benefits and reductions in crash frequency and severity resulting from the deployment of ATSPM signal timing and developing crash modification factors (CMFs) The objective of this research is to develop CMFs for ATSPM signal timing for all modes and various conflict types and severity.

Language

  • English

Project

  • Status: Proposed
  • Funding: $400000
  • Contract Numbers:

    Project 17-109

  • Sponsor Organizations:

    National Cooperative Highway Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC  United States  20001

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    American Association of State Highway and Transportation Officials (AASHTO)

    444 North Capitol Street, NW
    Washington, DC  United States  20001
  • Project Managers:

    Barcena, Roberto

  • Start Date: 20220524
  • Expected Completion Date: 0
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01773426
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 17-109
  • Files: TRB, RIP
  • Created Date: May 24 2021 3:14PM