Design Of Logistics Freight Guidance System Based On Android System

Since the reform and development, logistics industry has rapidly development in China andgenerates great social benefits for china. But compared with logistics technology of developedcountries, China’s logistics technology development backward and the low level of enterpriseinformation, which led to China’s logistics costs are much higher than the developed countries.In order to reduce the cost of logistics and freight forwarding in China, various countries haveadopted the advanced technology of intelligent vehicle guidance system and this technology hasalso become a hot topic in the domestic.In this paper, I study the key technologies affecting the cost of logistics-logistics routeguidance system. Then design of the system which is based on the Android system, mainlyincluded two parts which are the foreground and background. Foreground is a system based onthe Android platform mobile device, and users can log in and view business. Backstage logisticsmonitoring service center records the ongoing business distribution vehicle position, a specificgeographical environment and moving track, and then call intelligent genetic search algorithm,optimization and calculation of the path which vehicles traveling from origin to destination, andthen returns the results to the front ground displayed device, in order to achieve real-time pathguidance for the vehicle. This system can avoid the vehicles caught in congestion and moving inthe bad path and also can improve the quality of the delivery, reducing the cost of logistics.In this article, I do the main research and design of the front of the business model of theentire system based on Android system interface, including interface design and implementationof the code, and back-end database design and implementation, including the establishment of adatabase table and between tables relationship building. At last, I Focused on how to use geneticalgorithm to deal with this business model about the path optimization problem by the geneticalgorithm and in Matlab software model carried out to verify the validation of the results,showing that genetic algorithm can handle the path search and optimization problems, so thedesign of this system is reasonable to optimize the system and can complete the dynamic optimalpath on the logistics delivery process.Research and design of the system is expanded in the background of the rapid developmentof logistics technology and business information, so it will constant development and also full ofpractical significance and practical value.