Optimization And Simulation Of The Process Of Scenario-driven V2X Applications Testing

Intelligent Vehicle-Infrastructure System(IVIS)is the bleeding edge of science and technology within the field of transportation.It is a successful means to trigger the change of road activity organization and operation frame,and illuminate the major issues of road traffic security.Driver assistance systems such as lane keeping,adaptive cruise control,pedestrian/obstacle collision avoidance,automatic lane change,emergency braking systems and numerous more are being utilized in high-end present day car frameworks.Two major applications of V2 X technology for driving security are vehicle-to-vehicle(V2V)and vehicle-to-infrastructure(V2I)communications to illuminate drivers of roadway dangers and circumstances that they cannot promptly perceive.These applications contribute to the transportation safety and efficiency and concerning security.They attempt to assist and to diminish the probability for an accident,or at slightest diminish the seriousness in case it is still unavoidable.However,V2 X applications or the autonomous vehicles that use those applications must be thoroughly tested and evaluated to ensure their functionality and performance before they can be released and deployed on public roads.The goal of this dissertation is to optimize the process of V2 X applications testing by minimizing the evaluation time and maximizing the utilization of available resources for a given test field.The contributions on evaluation of autonomous vehicles or V2 X technology applications presented in this dissertation include:1)Maximization of scenarios per mile for a given test field(MSM-GTF)algorithm which finds an optimal route of maximum number of test case scenarios per distance from an entrance location to an exit location for a given test field,that can maximize the utilization of available resources and optimize the overall required evaluation time.The main idea of the proposed algorithm is based on Dijkstra algorithm with some modification in its relaxation function.2)Optimal route search for a given test case scenarios(ORS-GTCS)algorithm which for a given test field and a set of test scenarios specification finds an optimal route of minimum cost from the entrance to the exit location,that can best satisfy the required number of test scenarios specification.The propose ORS-GTCS algorithm makes use of mixed integer linear programming mathematical formulation to solve the problem of finding the optimal route.3)Crash scenarios simulation injection in microscopic simulator SUMO.To further verify the propose algorithm,the realistic test field topology from the Traffic Management Research Institute of the Ministry of Public Security,has been used in the simulation.The resulted optimal route from ORS-GTCS is considered as input to the SUMO simulation.The description of scenario simulation injection and the resulted output are presented.