Estimating "Level Of Safety" In Traffic Modeling Using Human Error

This paper reports on a study undertaken to incorporate human error into traffic modeling. The authors use an analysis of driver’s behavior in a selected traffic situation (drivers do or do not stop at red light) to represent human error. Based on Bayesian theorem, they can determine probability of bad decisionmaking. Having built the junctions in VISSIM environment, and after a detailed investigation of output parameters (in simulated traffic there is no car going through a red light), a software module was developed for having the bad decision probabilities using VISSIM. The authors go on to group drivers by driving style (aggressive, normal, slow) and use the data of drivers running red lights to find the missing link. The trial version of this software now is able to define the probability of bad decision using VISSIM outputs.

Language

  • English

Media Info

  • Media Type: CD-ROM
  • Features: Figures; Photos; References; Tables;
  • Pagination: 13p
  • Monograph Title: ITS Connections: Saving Time. Saving Lives

Subject/Index Terms

Filing Info

  • Accession Number: 01141982
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 5 2009 7:11AM