智能城市2025，Vol.11Issue(5)：25-28,4.DOI:10.19301/j.cnki.zncs.2025.05.007
基于多模态感知与边缘计算的道路交叉口优化
Optimization of road intersections based on multimodal perception and edge computing:A case study of high-conflict corridors in Maoming city
摘要
Abstract
In order to solve the problems of dense heavy-haul transportation,rainy climate and high-conflict intersections in urban transportation,the paper proposes a dynamic optimization method based on multi-modal perception and edge computing,and fuses multi-source data such as millimeter-wave radar and thermal imaging through the'device-edge-cloud'architecture to construct a risk coupling quantification model and a distributed optimization algorithm.The results show that this method simultaneously improves the traffic efficiency and the safety level of the intersection,reduces the traffic delay by 37.3%,reduces the heavy truck accident by 78.1%,and the system delay is less than 200 ms.关键词
多模态数据融合/边缘计算/交叉口/重载运输Key words
multimodal data fusion/edge computing/road intersections/heavy-haul transportation分类
交通运输引用本文复制引用
邵洪清,梁梓恩..基于多模态感知与边缘计算的道路交叉口优化[J].智能城市,2025,11(5):25-28,4.基金项目
2024年度广东省教育厅普通高校认定类科研项目(2024KTSCX273) （2024KTSCX273）
2024年度茂名市哲学社会科学规划共建项目(2024GJ12) （2024GJ12）
