Optimizing the Process of Scenario-driven V2X Applications Testing

This paper aims to optimize the V2X (Vehicle-to-Everything) application testing process by minimizing evaluation time and maximizing resource utilization in a given test field. Our contributions include (1) Development of the Maximization of Scenarios per Km for a Given Test Field (MSK-GTF) algorithm. This algorithm finds the optimal route to maximize the number of scenarios per distance, optimizing resource usage and evaluation time. (2) Introduction of the Optimal Route Search for given test case scenarios (ORS-GTCS) algorithm. ORS-GTCS identifies the optimal route, minimizing costs while fulfilling the required test scenarios. It employs mixed-integer linear programming for optimization.