Research On Casualty Rescue Vehicles Scheduling After Earthquake Disaster

Distribution of emergency supplies and vehicle route optimization in uncertain situations has become one of the research hot spots. As earthquake and other natural disasters occurred frequently in recent years, people's attention has been paid at the problem about vehicle scheduling and route optimization gradually, and the results of research have important practical significance and value.Firstly, the consolidating results of domestic and foreign scholars who research on the problem are summed up, and the deficiency of existing research are analyzed in this paper.Then, this paper predicts casualties and traffic situation. Article analyzes the influential elements of the disaster point casualties, at the same time, combining with historical earthquake casualty figures, predicting the demand and requirement types. Paper divides the multy-depot vehicle routing problem into some single-depot by using polymerization optimization algorithm. Combined with the feature of the dynamic variation of the road network traffic situation after the quake, in-depth analysis of factors that affect earthquake road connectivity and traffic capacity, paper put forward after the road travel time prediction method. Based on the above analysis, paper calculates weight point of the disaster relief.Secondly, based on the above analysis, this paper divides the wounded transport vehicle scheduling into two stages. One is rational allocation of emergency resources stage and the other is VRP stage. At the first stage, the wounded are subject to different degrees of damage and distribute throughout randomly. The paper considers how to allocate existing emergency rescue vehicle rational in the first time after the earthquake. At the second stage, considering the road network is dynamic, paper establishes a mathematical programming model to carry out goals that the shortest rescue time and the biggest relatively rescue weights.Then, the article adopts new coding method and trigonometric function variation of firefly algorithm to solve the problem. The results show that the proposed model and algorithm can effectively solve the problem, and the performance of global searching algorithm is better.Finally, this paper prospects the research trend of the problem, and put forward the deficiency of the article in order to constantly improve in the future research.