An driverless dynamic path planning algorithm based on Vanet.

With the development of intelligent transportation, driverless is another important means that will utterly change traditional travels in the future. In order to adapt to the large-scale and complex traffic environment of driverless, we propose a dynamic bidirectional A* algorithm for driverless navigation planning. On the basis of this, theoretical simulations under different traffic flow conditions are realized, and the feasibility of the algorithm is verified. The vehicular self-organizing network is an important development direction of driverless in the future. In order to verify the performance of the algorithm in the vehicular self-organizing network environment, we adopt the OMNeT++ and SUMO bidirectional coupling, and perform joint simulation experiments on the open source framework Veins. In the traffic states with different traffic densities, the path planned by the dynamic bidirectional A* algorithm in the Vanet environment can reduce travel time and improve travel efficiency more effectively than that of the traditional bidirectional A* algorithm. [ABSTRACT FROM AUTHOR]