Simulation of car-following decision based on wavelet neural network

Car-following is a kind of driving behavior which is difficult to be expressed precisely, and is influenced by multiple factors. In this paper, on the basis of using various information around a driver sufficiently, wavelet neural network is utilized to simulate car-following behavior in single lane and generates reliable simulation outcomes.