Parameter Extraction Method for Cut-in Scenarios of Intelligent Connected Vehicles

With the development of intelligent connected vehicle technology, more and more vehicles are equipped with ADAS. To verify the safety and reliability of ADAS, a large number of testing and evaluation scenarios have been set up in the standard system and testing evaluation system. The scene of the front vehicle cut-in is extremely complex, and how to quickly and accurately extract dangerous test cases has become an urgent problem to be solved. This article analyzes the driving behavior data of typical drivers by collecting their driving behavior characteristics, and constructs a driving model. On this basis, through joint simulation of driving models and testing scenarios, extract the parameters of danger test cases for front vehicle cut-in scenarios.