Reliability Analysis of a Passing Warning System on Two-Lane Highways Using Driving Simulator Data

Passing maneuvers are considered an effective measure to improve mobility levels along two-lane highways. Passing collision warning systems (PCWS) can help drivers avoid passing collisions two-lane highways by reducing the chance of human error. This paper analyses the reliability of a PCWS on passing maneuvers and driver behaviour in response to a passing warning system. This paper presents reliability models of the PSD No-Warning and PSD Warning that accounts for the variability of the input random variables to offer a better representation of real-life conditions. The reliability-based PSD models were developed using the First-Order Second-Moments (FOSM) method and a Monte Carlo Simulation (MCS) was used to validate the models. The proposed PCWS uses a radar sensor placed in the passing vehicle to detect opposing vehicles travelling in the left lane and calculate their relative distance and speed in order to estimate the time to collision. The proposed models account for the variability in the parameters by using the mean and standard deviation in a closed form estimation method. The analysis was performed, and the corresponding PSD No-Warning and PSD Warning distribution was established using empirical data obtained in a driving simulator carried out in Toronto, Canada. A comparison of the results of the proposed models, which reflect driver behaviour, and those of existing models is presented. The results indicate that the warning systems are beneficial and that they provide the driver with a certain level of comfort.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 19p

Subject/Index Terms

Filing Info

  • Accession Number: 01764005
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-00541
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 4 2021 10:57AM