Application Research Of Intelligent Vehicle Dispatch On The Logistics Vehicle Supervision Platform

With the development of society, the demands for logistics functionality and timeliness become higher and higher. It has a significant practical value of the research on dynamic vehicle scheduling which can help transportation companies not only to improve service level but also to save transportation costs so as to absorb the wealth of "the third profit source".A logistics vehicle monitoring & scheduling platform which was developed with JAVA language was introduced in this paper. It was developed on the basis of vehicle GPS positioning system, taken GPRS as information transmission, and adopted WEBGIS as a carrier. Moreover, the vehicle scheduling module was designed with optimized genetic algorithm, which achieved real-time query for geographic & vehicle information and dynamic vehicle scheduling. It will highly improve the level of logistics information management and be meaningful to the promotion of Logistics Vehicle Scheduling.It was analysed deeply in this paper the issues such as the common-used time windows and vehicles reused in dynamic vehicle scheduling, and the multi-objective mathematical model was set up as well. Combined by genetic algorithm, a novel variable-length chromosome encoding and verification methods was applied so as to greatly simplify the solution process, which had created favorable conditions to optimize the vehicle scheduling issues quickly and efficiently. There are many obvious advantages for the improved genetic algorithm proposed in this paper to deal with the issues of vehicle scheduling optimization. It creates a new way for the quick and effective solution to dynamic vehicle scheduling issues.