China's smart highway platform is cutting congestion and boosting rescue speeds across the country's busiest roads. Nowhere is this more evident than in Guangdong Province - home to China's most extensive expressway network - where AI-powered systems recently managed a record 9.15 million vehicles in a single day during peak holiday travel.
By integrating real-time traffic monitoring, predictive analytics, and automated emergency response, the technology is transforming how mega-cities handle extreme traffic volumes while keeping drivers safe.
With over 6 million vehicles traversing Guangdong's 11,700-kilometer expressway system daily, Guangdong is using technology to streamline mobility.
The "YueTongXing" service platform empowers drivers to check real-time traffic conditions and avoid congestion before hitting the road. In the event of an accident, drivers can use the platform's AI-powered "Road Rescue" feature to instantly share their precise location with emergency responders - boosting rescue efficiency and reducing response times by 40 percent.
From real-time traffic updates to customized route planning, from service area navigation to ETC processing and expressway invoicing, and from basic congestion indicators (red/yellow/green) to detailed average speed displays - the "YueTongXing" platform serves as the intelligent core of Guangdong's highway network, functioning as a unified digital ecosystem for comprehensive travel services.
"This intelligent hub goes far beyond simple information aggregation. By integrating cutting-edge technologies including cloud computing, big data analytics, AI, and large language models, it processes massive real-time traffic data and user demand patterns to deliver smart, personalized mobility services," said Zhou Haomin, general manager of Guangdong Transportation Group Road Network Car Owner Travel Service Platform Project Department.
In the command center of the Guangdong-Hong Kong-Macao Greater Bay Area's smart highway management platform, the Pearl River Estuary cross-sea channel network has been divided into three core control zones.
Through real-time monitoring and analysis of traffic flow, vehicle speeds, and incident data, the system can promptly detect and predict traffic congestion and abnormal situations. It automatically generates management plans and response strategies, while coordinating relevant departments for timely resolution.
"We've developed a sophisticated multi-level traffic control model operating at lane, road section, and network scales. This system optimizes traffic flow distribution across the entire Greater Bay Area highway network, significantly improving overall traffic efficiency," said Xu Xianwei, R&D team member of Guangdong Transport Group's Greater Bay Area Smart Management Platform.
China's smart highway platform cuts congestion, boosts rescue speeds
China;s smart highway platform cuts congestion, boosts rescue speeds
