市政技术2024，Vol.42Issue(10)：19-23,226,6.DOI:10.19922/j.1009-7767.2024.10.019
基于低密度浮动车数据的在建工地园区车辆路径规划模型及算法研究
Vehicle Path Planning Model & Algorithm for Construction Site by Low-density Floating Vehicle Data
摘要
Abstract
By the vehicle path planning method and solution algorithm,the road length,vehicle coordinates obtained by floating vehicle technology and other data are coupling analyzed,and a vehicle path planning model is estab-lished,which overcomes the pain point problem that should be effective calculated by high-density floating vehicle technology.Aiming at the defects of classical vehicle path planning algorithms,the search method of Dijkstra algo-rithm and the route selection of ant colony algorithm and pheromone updating were improved,and the improved Di-jkstra-ACO algorithm was proposed.The effectiveness of the algorithm was verified by the simulation of road net-work.Finally,the superiority and feasibility of the vehicle route planning model was verified by relying on the actual road network of the site park.关键词
车辆路径规划/在建工地园区/Dijkstra-ACO算法/低密度浮动车数据Key words
vehicle path planning/construction site/Dijkstra-ACO algorithm/low-density floating vehicle data分类
交通运输引用本文复制引用
潘新昊,刘轶鹏,郭鑫铭,王建柱,吴建清..基于低密度浮动车数据的在建工地园区车辆路径规划模型及算法研究[J].市政技术,2024,42(10):19-23,226,6.基金项目
山东省重点研发计划(2020CXGC010118) （2020CXGC010118）
