Investigating the Effects of Smartphone-based P2V Warning using Driving Simulator Experiments

The proposed research enhances the current work of the research team on connected vehicle (CV) simulation, which includes CV technology evaluation under inclement weather conditions and CV effectiveness estimation for different warning systems (e.g., Pedestrian-to-Vehicle (P2V), Vehicle-to-Vehicle (V2V), Infrastructure-to-Vehicle (I2V)). The proposed project is based on driving simulator experiments. The proposed research will explore the feasibility and effectiveness of using smartphone as OBU emulator for P2V warning. Meanwhile, this project will be helpful for understanding driver behavior when smartphone warning messages are presented under different driving mental workload conditions. Furthermore, the results of the study is expected to be beneficial for the design of smartphone warning systems under different driving situations.

Project

  • Status: Inactive
  • Funding: $60000
  • Contract Numbers:

    69A3551747131

  • 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:

    University of Iowa, Iowa City

    National Advanced Driving Simulator, 2401 Oakdale Blvd
    Iowa City, IA  United States  52242-5003
  • Performing Organizations:

    University of Central Florida, Orlando

    Department of Civil, Environmental & Contruction Engineering
    1280 Pegasus Drive, 442B Engineering II
    Orlando, FL  United States  32816
  • Principal Investigators:

    Wu, Yina

  • Start Date: 20190501
  • Expected Completion Date: 20201031
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01698998
  • Record Type: Research project
  • Source Agency: Safety Research Using Simulation University Transportation Center (SaferSim)
  • Contract Numbers: 69A3551747131
  • Files: UTC, RiP
  • Created Date: Mar 19 2019 3:15PM