Abstract
Aiming at the complexity of lane change process, fuzzy logic analysis method was proposed to analyzing this behavior. By assaying the multi lane change scene that the drivers may choose, influencing factors were quantified. Each indicator factor after quantified was treated as model input. PID models of driver, vehicle and road surface were established in Simulink condition. The road surface model controls whether the lane change process will be conducted, and the driver model will export angle of steering wheel to deciding the efficiency of lane change process. Real road test was conducted and the test result shows that information between human and vehicle can be fused sufficiently.
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