Optimization of road intersections based on multimodal perception and edge computing:A case study of high-conflict corridors in Maoming city
SHAO Hongqing
LIANG Zien
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.
Keywords：multimodal data fusionedge computingroad intersectionsheavy-haul transportation
Publication Date：2025-05-25
Pages：4( 25-28 )