Development and evaluation of Vehicle to Pedestrian (V2P) safety interventions

While autonomous vehicles are expected to reduce the number of fatalities occurring due to driver distraction, little has been done to intervene for the distracted pedestrian ignoring traffic. To address this gap, the project proposes developing a prototype Android mobile app that will (1) alert pedestrians when they are near areas of high traffic density, including the presence of autonomous vehicles, and (2) advise pedestrians when it is unsafe to cross a street. For this effort, the project will determine if an app can be used effectively to advise pedestrians about safe street crossings, a mobile app can make crossing safer for distracted pedestrians, and what the threshold is in terms of reliability that drives trust, or a lack thereof, in this system. In this effort, the project will identify factors that influence pedestrian decisions to enter the roadway and analyze how those decisions can be influenced by vehicle-to-pedestrian communications in different modalities. From this, the project will determine what technologies could be leveraged to alert pedestrians of dense traffic areas, in order to alert pedestrians that they are near potentially unsafe areas, and whether such approaches can be used to provide real-time warnings. The project will then also explore how the arrival of vehicle-to-vehicle (V2V) services could improve upon the base case. Lastly we will explore what the threshold of reliability is, i.e., what is the level of false alerting, or more importantly, perceived false alerting, that causes people not to use this technology. The results of these efforts will be used to inform the design of the Android prototype. Following the development of a prototype, a naturalistic experiment will be conducted, based on a proven protocol developed for earlier similar experiments. The goal will be to measure the effectiveness of the app as an alerting and warning system for distracted and non-distracted users, as well as the impact of reliability. Dependent variables will be number of successful safe street crossings and number of errors. The project will also attempt to develop a version that can be used in real settings in order to get subjective feedback from participants. The outcome for this study will be the Android prototype and design specifications for an app that can warn a distracted pedestrian or inform an attentive one. Beyond this, the project will have experimental results that report on the efficacy of mobile devices as traffic warning and advisory systems, including an established threshold level of reliability. Publications (e.g., peer-reviewed journal article, conference proceeding) will also be developed describing relevant aspects of the design, development and evaluation.


  • English


  • Status: Active
  • Funding: $200,000
  • 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:

    Collaborative Sciences Center for Road Safety

    University of North Carolina, Chapel Hill
    Chapel Hill, NC  United States  27514
  • Project Managers:

    Sandt, Laura

  • Performing Organizations:

    Duke University

    Durham, NC  United States  27708
  • Principal Investigators:

    Cummings, Missy

    Clamann, Michael

  • Start Date: 20170301
  • Expected Completion Date: 20210331
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01627998
  • Record Type: Research project
  • Source Agency: Collaborative Sciences Center for Road Safety
  • Contract Numbers: 69A3551747113
  • Files: UTC, RIP
  • Created Date: Feb 24 2017 2:43PM