Convoluted Gaussian Process (CGP): An Alternative to Facilitate Analysis and Predictions of Multiple DPMs under Several Driving Conditions Using Driving Simulators

This project aims at modeling the interactions among different driving performance measures (DPMs), e.g., standard deviation of lateral position (SDLP) and driving speed, under various driving conditions. The hypothesis is that different DPMs interact with each other and the successful modeling of such interactions could greatly improve the prediction accuracy and reduce the variability of DPMs at untried driving conditions. The project would use driving simulators data to train and test the proposed DPM interaction model, where the DPM prediction accuracy would be evaluated and compared with various alternatives, e.g., generalized linear model, to validate the effectiveness of the proposed model

Project

  • Status: Inactive
  • Funding: $39500
  • 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 Iowa, Iowa City

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

    Wang, Chao

    McGehee, Daniel

    Brown, Timothy

  • Start Date: 20200901
  • Expected Completion Date: 20210831
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01738852
  • Record Type: Research project
  • Source Agency: Safety Research Using Simulation University Transportation Center (SaferSim)
  • Contract Numbers: 69A3551747131
  • Files: UTC, RiP
  • Created Date: May 6 2020 4:29PM