深圳大学学报（理工版）2026，Vol.43Issue(1)：57-64,8.DOI:10.3724/SP.J.1249.2026.01057
基于改进蚁群算法的车辆环保路径规划方法
A vehicle environmental-friendly path planning method based on improved ant colony algorithm
摘要
Abstract
To reduce exhaust emissions and fuel consumption from vehicles traveling on urban roads,this paper presents an environmentally friendly vehicle routing guidance method based on an improved ant colony algorithm.Firstly,an exhaust emission model for vehicle travel is constructed using the specific power approach,and a mixed integer programming model is established with the objective of minimizing vehicle fuel consumption and exhaust emissions.Then,the improved ant colony algorithm is used to solve the model.Finally,taking a specific area in Yuxi city of Yunnan province as the research object,experimental analysis of on-board diagnostics(OBD)data in this region demonstrates that compared to the shortest path,the path obtained by this method reduces total vehicle emissions by 10.97%and total fuel consumption by 17.63%,despite an increase in total length by 10.95%.Environmentally friendly vehicle routing can effectively reduce emissions and fuel consumption during travel,even with a slight increase in driving distance.关键词
城市交通管理/路径规划/节能减排/车载诊断系统数据/比功率法/改进蚁群算法Key words
urban traffic management/route planning/energy conservation and emission reduction/on-board diagnostics(OBD)data/specific power method/improved ant colony algorithm分类
交通工程引用本文复制引用
陈昱光,高加尧,胡山,黄金涛,郭凤香..基于改进蚁群算法的车辆环保路径规划方法[J].深圳大学学报（理工版）,2026,43(1):57-64,8.基金项目
National Natural Science Foundation of China(52462050) （52462050）
Foundation of Yunnan Innovation Team of Vehicle-Road Cooperation Control and Operation Safety(202505AS350024) （202505AS350024）
Foundation of Yunnan International Joint Laboratory on Intelligent and Connected Transportation(202503AP140016)国家自然科学基金资助项目(52462050) （202503AP140016）
云南省车路协同控制与运行安全创新团队基金资助项目(202505AS350024) （202505AS350024）
云南省智能网联交通国际联合实验室基金资助项目(202503AP140016) （202503AP140016）
