Research on Lane Changing Strategy for Automated Vehicles Basing on Vehicle-in-the-Loop System

As one of the core technologies of automatic driving, the decision-making module plays a crucial role in the safety of automatic driving. In this paper, a fuzzy logic based automatic driving lane changing strategy is proposed to fuzzy the time to collision and distance coefficients by introducing a safe distance model. Fuzzy rules are established based on expert experience to get the fuzzy output of lane changing willingness, which in turn forms the lane changing decision of the self-driving vehicle. The strategy has strong adaptability and practicality, effectively handles various complex traffic scenarios, and improves the safety and comfort of self-driving vehicles. In this study, a lane-changing scenario is designed in the virtual simulation software, and the vehicle-in-the-loop test platform is utilized for experimental verification. The test results prove that the automatic driving lane changing strategy enables the vehicle to make reasonable lane changing decisions in different traffic scenarios, avoids collision risks, and improves driving comfort.