| Due to the rapid development of artificial intelligence,Internet of things,information communication and other technologies,as well as the integration process of automobile,electronics,semiconductors and other fields is speeding up,driverless vehicle is gradually emergin.As driverless technology matures,the application of driverless vehicles in the field of distribution has become an inevitable trend.At present,the combination degree of distribution route optimization and driverless driving is not high,and the models are mostly static.It is difficult to reflect the characteristics of dynamic path planning of driverless vehicle based on real-time traffic information in the intelligent network environment.In view of this,the research on the distribution optimization of driverless vehicles has become an important research topic.This paper research the problem of driverless vehicle distribution routing under the intelligent network.In order to optimize the distribution cost,the theoretical research and empirical analysis were combined.Besides,in the process of solving the problem,the factors such as traffic path,time window and penalty function are considered.First of all,from the process of driverless distribution and the characteristics of urban logistics distribution,it points out the inevitability and unique advantages of driverless distribution.Secondly,considering the intersection traffic that is not involved in the traditional distribution optimization,the ecological driving path through the intersection is introduced into the distribution path optimization model,and the two-stage distribution path optimization model of driverless vehicle based on the intelligent network environment is constructed.Thirdly,the speed constraint in the path optimization is innovated,and the traffic status of each road is mastered by summarizing and analyzing the traffic flow,traffic speed and other information of the surrounding road sections.Then the time window constraint,penalty function and vehicle cargo matching are integrated,and the optimal distribution strategy of Dongxinkemao distribution center of STO express in Wenyi Road Street is solved by MATLAB software.Finally,the algorithm and case results of solving the model are analyzed respectively.On the one hand,the superiority of differential evolution algorithm is verified based on different solving algorithms;on the other hand,the feasibility of the model is demonstrated based onthe case results,and the application scope of the model is summarized.This paper combines driverless vehicle with traditional route optimization,and constructs the model and algorithm of driverless vehicle distribution route optimization in the intelligent network environment.This research has certain exploration and guidance significance for the promotion and application of driverless vehicle in the field of third-party logistics distribution. |
