Control method for emergency lane change behavior of autonomous vehicles in the internet of vehicles environment

A control method for emergency lane change behavior of autonomous vehicles in the Internet of Vehicles environment is proposed to address the issues of low accuracy, insufficient success rate, and response delay in determining emergency lane changing conditions for autonomous vehicles in emergency lane changing scenarios. Firstly, through the collection and fusion of multi-source data from the Internet of Vehicles, the mRMR algorithm is used for feature selection to reduce redundancy, Construct an emergency lane change condition determination mechanism based on the parking distance index (SDI) using the collected vehicle networking data, Design a position velocity dual PID longitudinal controller based on the judgment results of lane changing conditions to achieve emergency lane changing behavior control for automobiles. The experimental results show that the highest judgment accuracy of the proposed method is 96.48%, the highest success rate is about 98.21%, and the minimum decision time is 0.41s.