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

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.