Model of driver risk perception in car-following based on Logistic regression

Research output: Contribution to journalArticlepeer-review

Abstract

In order to explore the mechanism of driver risk perception in car-following under emergency situations, a large-scale investigation of traffic conflict was conducted by using video drive recorder for the first time in China. Based on the rear-end conflict data recorded in real traffic environments, authors analyzed the relationship between driver braking operation and decision-making for safe and dangerous status, presented the model of driver risk perception in car-following based on Logistic regression. Results show that time headway and time to collision are important parameters for driver risk perception in car-following, and the model presented in the paper has good adequacy in city traffic by the test of goodness of fit and accuracy verification.

Original languageEnglish
Pages (from-to)103-108
Number of pages6
JournalZhongguo Gonglu Xuebao/China Journal of Highway and Transport
Volume24
Issue number6
StatePublished - Nov 2011

Keywords

  • Driver behavior
  • Logistic regression
  • Rear-end warning
  • Risk perception
  • Traffic conflict
  • Traffic engineering
  • Video drive recorder

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