Research on Road Test Route Design Method of ADAS System Based on Fault Database and Dijkstra-CWOA

To solve the problem that it is difficult to obtain large fault data efficiently in Advanced Driver Assistance Systems (ADAS), a Dijkstra algorithm combining Cuckoo Search algorithm and Whale Optimization Algorithm (CWOA) is proposed, and dynamic multi-source path planning based on DijkstraCWOA algorithm is built. Based on the Dijkstra algorithm, the shortest path of the multi-source path is obtained first, so as to save manpower and material resources and improve work efficiency. Then, the Levy flight mechanism of Cuckoo Search (CS) algorithm is integrated into the Whale Optimization Algorithm (WOA), and the improved WOA is used to change the start node and end node of the path, so as to find the optimal cumulative weight path under the shortest path at different times, so as to obtain the path with the most fault data. The experimental results show that the Dijkstra-CWOA algorithm can effectively optimize the path in the range of fixed road nodes.