山东建筑大学学报2025，Vol.40Issue(2)：77-85,9.DOI:10.12077/sdjz.2025.02.010
城市交通空气污染暴露评价及行人最优路径规划
Assessment of urban traffic air pollution exposure and optimal path planning
摘要
Abstract
Road air pollutants have important impacts on people's health.Numerical simulation technology,a method to simulate outdoor wind quickly and accurately,can be used to effectively evaluate the air pollutants distribution in the street.This study utilizes simulation software and Back Propagation(BP)neural network to calculate and predict the distribution of air pollutants concentration on the road,and converts the pollutants concentration into obstacles on the road,planning low-risk paths for pedestrians by using Rapidly Exploring Random Tree(RRT)algorithm.The results reveal that vehicle emission,background concentration and vegetation have significant effects on air pollutant concentration,with the increase of vehicle emission by 30.25 μg/m3 and the increase of interstreet air pollutant concentration by 20～30 μg/m3.Combining simulation,BP neural network and RRT algorithm,this paper provides a reasonable suggestion for planning the optimal path for pedestrians.关键词
路径规划/污染物分布/数值模拟Key words
path planning/pollutants distribution/numerical simulation分类
资源环境引用本文复制引用
李旭,刘济洲,刘吉营,周倩..城市交通空气污染暴露评价及行人最优路径规划[J].山东建筑大学学报,2025,40(2):77-85,9.基金项目
山东省自然科学基金项目(ZR2021ME199,ZR2021QD150) （ZR2021ME199,ZR2021QD150）
山东省高等学校青创人才引育计划创新团队项目(鲁教科函[2021]51号) （鲁教科函[2021]51号）
