关键词: 无人车, 车辆路径问题, 优化, 路径更新, 遗传算法

Abstract: Combined with the characteristics of information sharing and real-time route selection ofunmanned vehicle in the environment of intelligent network, the optimization of its routingproblem is studied. Through the introduction of key point update strategy, the path selection strategy of pre-planning and real-time adjustment for unmanned vehicle is formulated, and a two-stage VRP model based on real-time traffic information is proposed in the intelligent network connection environment. The pre-planning stage model determines the initial path, including the customer points to be served by each vehicle, The real-time adjustment model adjusts routes of each vehicle. The optimization model is solved by genetic algorithm, and the feasibility of the model and algorithm is verified by an example. The research results show that the optimization model of unmanned vehicle constructed in this paper can effectively combine the characteristics of real-time communication and route selection of unmanned vehicles, and save the delivery time. The research has certain exploration significance for the promotion and application of unmanned vehicle in the field of third-party logistics distribution.

Key words: unmanned vehicle, vehicle routing problems, optimization, path update, genetic algorithm