Vehicle automatic collision warning algorithm based on FuNN

As the important research content of advanced vehicle control system(AVCS), active safe technologies, such as vehicle collision warning, are always hot and key point in ITS research, and collision warning algorithm(CWA) is considered the core of collision warning system(CWS). Using the new technologies such as information technology, communication technology and electronic control technology, vehicle CWS can continue to acquire road condition, adjacent vehicle march condition as well as its dynamics performance, then it can forecast the oncoming potential collision and give a warning. Firstly, on analysis of driver's driving behavior, algorithm's warning norms are determined; Secondly, based on warning norms adopting fuzzy neural networks(FuNN) method, the cooperation CWA model of multi-input and multi-output is established which is used support vehicle CWS; Finally, the CWA is tested using the actual data, result shows that this algorithm can carry out warning for vehicle collision efficiently, which has important meaning for improving vehicle travel safety.