Fuzzy based collision avoidance control strategy considering crisis index in low speed urban area

Increasing number of traffic accidents happen owing to distracted driving or drivers' inattention. However drivers tend to be unaware of crisis state, which is related to drivers' emergency degree in their driving. So it is often too late for drivers to take measures to lower the vehicle speed. Multi-tasking or long hours of driving often fatigues driver especially in complicated urban traffic. Therefore, in which condition should driver tread the break pedal before hand depending on many factors, which it is usually full of uncertainty. In addition, it is hard to quantize the factors by specific mathematic expression. Given all the reasons above, fuzzy controller is a good choice to solve the problems. Compared with many traditional ways, like PID controller, in which accurate model is needed to control the highly uncertain parameters, fuzzy controller have many advantages. Thus this paper presents a fuzzy based active control strategy to keep the vehicle away from possible collisions. In this paper, the author first evaluates the crisis index of urban driving condition; secondly based on crisis state the control strategy is designed to give the vehicle appropriate deceleration rate to slow down; later, simulation model is built in Simulink to test the control strategy, finally simulation results illustrate the validation of the proposed algorithm.