基于 GIS 与改进蚁群算法的垃圾收运路径规划

The high cost of garbage collection and transportation limits the garbage disposal rate, and the transportation often causes irreversible negative impact on the human settlement environment and natural ecology. This paper proposed a method of garbage collection and transportation path planning based on GIS technology and improved ant colony algorithm. CRITIC method, entropy weight TOPSIS method and improved ant colony algorithm were used to realize the optimal path planning and design from the garbage collection point to the final treatment plant, thereby effectively reducing the cost of garbage collection and transportation and the harm to the surrounding ecological environment. The results showed that when the impacts of road traffic on the human settlement environment and natural ecology were included in the evaluation indicators of the garbage collection and transportation path, economic costs and ecology impact were reduced significantly. The transit rates of areas with strong demand for land protection, areas with large affected population size, areas with low noise reduction density, and areas with high degree of ecological inseparability had been reduced by 41%, 44%, 29%, and 41%, respectively. It reduced the disturbance of the garbage collection and transportation route to ecologically sensitive areas significantly. The results of this study could provide a reference for GIS technology and ant colony algorithm in garbage truck collection path planning.