The Research Of Intelligent Transportation Route Dynamic Generation Method Based On Temporal And Spatial Distribution Of Kitchen Waste

Kitchen waste recycling is an important part of modern cities, but it is also a tough problem. Timely kitchen waste recycling can not only prevent kitchen waste from flowing into the drainage oil refining and other illegal channels but also provide the material basis for secondary development and processing of kitchen waste, which is of great significance. Making reasonable plans to recycle kitchen waste and emergency decisions during recycling has important practical value because it can improve the efficiency of kitchen waste collection and transportation and reduce the cost.The dissertation is based on a subproject of National Science-technology Support Plan Projects named “the development of collection and transportation equipment and intelligent control system for closed household garbage and kitchen waste”. With the goal of collecting kitchen waste, the dissertation studies and achieves spatial and temporal distribution regularities of kitchen waste, dynamic generation methods of intelligent collection and transportation routes, and emergency decision during the process.Taking Xining as an example, the dissertation studies spatial and temporal(weekly, monthly, and yearly) distribution regularities of kitchen waste and obtains the dynamic distribution of kitchen waste, which provides the basis for scheduling collection and transportation vehicles. According to the spatial and temporal distribution regularities of kitchen waste, the number and tonnage of existing collection and transportation vehicles, the dissertation per puts forward an algorithm to generate collection and transportation routes dynamically with the genetic algorithm under constraint conditions and establishes a mathematical model. The dissertation also designs contingency plans for accidents and studies planning methods for the optimal rescue route in case of accident. According to characteristics of roads in Xining, a model based on fuzzy inference is proposed to decide road weights. The impedance is more in line with real time traffic conditions. Finally, the dissertation designs and develops the system with C# and Arc GIS Engine, which helps monitor the process of kitchen waste collection and transportation, optimize recycling routes, and distribute vehicles.