Research On Intelligent Vehicle Remote Scheduling System

In recent years, along with economic development and social progress, the research on intelligent vehicle has attracted a great deal of attentions. At present, many countries, research institutions, enterprises are conducting intelligent vehicle research, and achieved good results. A lot of attentions focus on the intelligent vehicles in urban environments. These vehicles are mainly used in the campus, parks, airports and other places. Some companies have produced some prototype vehicles and some of them have tried to run at the public places and got good results. It is estimated that these vehicles will enter the market in the next10years.This paper focuses on the intelligent vehicle under the environment limited to campus, parks, airports and other public places. Based on the existing results, the design and development of an intelligent vehicle remote scheduling system is implemented as follows.Firstly, the particularity of the intelligent vehicle environment is analyzed, and the mathematical model of the intelligent vehicle remote scheduling system is established. Secondly, in view of the characteristics of the scheduling system mathematical model, the process of particle swarm optimization and genetic algorithm for solving this model is presented. Then, through the analysis of the actual needs of the scheduling system, dot NET is used to develop an intelligent vehicle remote scheduling system. An intelligent vehicle environment simulator is built to verify the feasibility of the scheduling system and the effectiveness of the algorithm. Finally, simulation experiments show the feasibility and effectiveness of the proposed system. It also shows that the particle swarm algorithm is more suitable than the genetic algorithm used to solve the proposed scheduling model.