公路交通安全设施数字化转型关键技术研究OA

Taking the digital transformation and upgrade demonstration project of ordinary national highways in Guangdong Province as a case study,this paper investigates the deployment schemes and operational performance of four core technologies,namely intelligent perception and real-time early warning,three-dimensional inspection and active traffic control,layered and decoupled transportation digital infrastructure,and digitally reconstructed user service interfaces.The project adopts an'end-edge-cloud'architecture,deploying 430 sets of high-definition cameras,an unmanned aerial vehicle(UAV)stereoscopic network,and a unified digital backbone,enabling round-the-clock monitoring of 401 km of national highway infrastructure.Results show that the accuracy of traffic incident recognition increases from 65%to over 95%,incident response time is shortened from 5～15 minutes to within 10 seconds,rescue response time is reduced to approximately 3 minutes,and the coverage rate of inspection blind zones is elevated from 60%to over 95%.The system also supports over 3 million payment transactions per day on average.The data-driven technological framework effectively enhances proactive risk prevention capabilities for highway safety,facility management efficiency,and public travel service levels,providing a reference for similar digital transformation of transportation infrastructure.