Performance test of v2x vehicle collision warning algorithm based on combination of virtual reality fusion

Proposing a performance testing methodology for vehicle collision warning algorithm at intersections, this approach addresses the issues of the key V2X technology being challenging to simulate with real-scene data in virtual simulations, alongside the high-risk factor, elevated testing cost and limited space during the real vehicle verification process. The proposed method involves constructing a simulation environment based on PreScan and Matlab/Simulink, to verify the algorithm's performance. The sensory data obtained from an on-board unit (OBU) installed in a test vehicle on actual roads is then collected and imported into two indoor OBUs to evaluate the algorithm's efficiency further. The test outcomes reveal that combining real and virtual data with simulated data substantially enhances the efficiency of the algorithm testing and ensures security while further validating its effectiveness in genuine scenarios.