Pedestrian-Vehicle Interaction in a CAV Environment –Explanatory Metrics

The motivation for this study is to measure the interaction between pedestrians and motorists, so that the variety of expected interactions between pedestrians and autonomous vehicles can be documented. This knowledge is intended to better inform the programming of driverless vehicles and to provide guidance to officials contemplating alternatives crosswalk designs. To seek data that would assist the experiments described above, videos of pedestrians crossing one-way streets at specially-marked crosswalks are being recorded to create an archive that can be studied to detect and document the variety of behaviors by pedestrians and motorists at semi-controlled sites. Here, “semicontrolled” means sites marked with “State Law Yield to Pedestrian Within Crosswalk” signs. [MUTCD Figure 2B-2. Unsignalized Pedestrian Crosswalk Signs]. The timing of this study is quite good, because the one-way streets being videoed will soon become twoway streets, as part of a redesign of streets at Purdue’s campus. This will permit the study of the same pedestrian population at the same location under modified circumstances. Based on a preliminary viewing of the videos made to date, a list of metrics is being developed. The current categories are: General environment, Pedestrian behavior, Motorist behavior, and PedestrianMotorist interaction. The outcomes are likely to confirm that pedestrian and motorist behaviors in the street-crossing context are highly variable. For purposes of assessing the interaction between pedestrians and autonomous vehicles, a fresh look at the degree of variability – and the metrics used to measure the behaviors – will add to a knowledge crucial to autonomous vehicle (AV) operations in urban settings. While detailed information will be needed for AV applications, more aggregate metrics may be sufficient to guide traffic engineers as they consider alternative designs of street networks (one-way or two-way streets?) and pedestrian facilities. Examples of aggregate metrics are average delay to pedestrians and motorists, and relative frequency of conflicts between motorists and pedestrians.


  • English


  • Status: Active
  • Contract Numbers:


  • 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
  • Performing Organizations:

    Purdue University, Lyles School of Civil Engineering

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

    Fricker, Jon

  • Start Date: 20170615
  • Expected Completion Date: 20180615
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01645371
  • Record Type: Research project
  • Source Agency: Center for Connected and Automated Transportation
  • Contract Numbers: 69A3551747105
  • Files: UTC, RiP
  • Created Date: Aug 31 2017 1:44PM