| With the development of the e-commerce and economy in China,the modern logistics industry is undertaken a major reformation.More and more order data about logistics needs to be processed.The traditional logistics space-time data process cannot satisfy the rapid development of this industry.Furthermore,it is an immeasurable economic loss and inefficiency resulted by a large amount of incorrectly processed logistics data such as data of orders transportation information and trajectory delivery vehicle.One solution would be a modern platform that process logistics data appropriately so that it can improve the efficiency of logistics and realize the modernization of logistics.According to these problems and the market demand,this paper combines logistics data processing with modern cloud computing technologies and relevant algorithms to build a processing cloud platform of path planning.In the process of logistics data,it is necessary to have a good data management to distribute goods quickly and correctly.The main calculation research in this paper is how we apply the method of genetic algorithms into logistics path planning.Manual methods or directly GPS navigation is applied in traditional path planning,which is inconvenient and inefficient.To deal with these unfitted methods,this paper focuses on the better path planning by improving the genetic algorithms.Compared with traditional processing methods,obvious and practical benefits have been achieved through a deep cooperation with logistics companies by the significantly improved efficiency of order processing and logistics path planning.Path planning is inseparable from the analysis of road conditions.Only by multi-understanding of the current road conditions,we can plan more reasonable distribution routes for customer orders.In the module for obtaining traffic conditions,a Baidu API interface is used to calculate the distance and traveling time between the distribution points through the API interface.After the distance and time information is acquired,the path planning is performed.As a weight for each distance edge,a more reasonable path can be planned.When the route planning plan is displayed,it can be adjusted according to the road conditions while displaying the route.For logistics space-time data,which helps processing cloud platform establishment in this paper,it can handle logistics orders is an efficient way by effective plan distribution routes and intime query vehicle trajectories.It is will meet the current rapid needs of the logistics industry,which enable it to serve the public more efficiently. |
