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Suzhou employs vehicle-mounted drones for stereoscopic traffic monitoring across highways, bridges, and slopes. This AI-powered approach enhances management efficiency, safety, and provides a replicable model for intelligent urban transport, according to Zhuangwei Lu, Suzhou Municipal Transportation Bureau.
As a core transportation hub in the Yangtze River Delta, Suzhou has taken the lead in releasing the “Suzhou Implementation Plan for ‘Artificial Intelligence + Transportation’.” Guided by the overall development strategy of “14815,” the city is fully advancing the integrated innovation of “AI + Water-Land-Air” in the transportation sector. It aims to build an intelligent, three-dimensional comprehensive transportation system featuring full-element perception, whole-process collaboration, and all-scenario intelligence, actively contributing the “Suzhou Solution” to urban traffic governance. This article focuses on the integrated practice of “AI + Air”.
Vehicle-Mounted Drones: Empowering a New Dimension of Full-Scene Traffic Monitoring
The Stereoscopic Monitoring of Highway Networks programme deploys drone intelligent inspection systems on key sections like the Beijing-Shanghai and Changjia expressway. Through high-frequency aerial patrols, these systems use high-definition cameras and intelligent analysis technology to capture road congestion points, accident sites, and rescue progress in real-time, synchronously transmitting data back to the emergency command centre
Relying on a multi-department data sharing and collaborative dispatch mechanism, they dynamically generate personalized traffic guidance plans, achieving systematic improvement of highway traffic efficiency and establishing a new “air-ground” integrated model for highway traffic management.
For special structural bridges like cable-stayed bridges, Suzhou has established a “day + night” full-time monitoring system. During the day, the system uses high-definition cameras and intelligent sensors to accurately identify structural hazards such as main tower cracks and bolt corrosion. At night, equipped with night vision devices, the drones inspect the status of navigation beacon lights and the integrity of channel markers in the bridge area, achieving all-weather dynamic monitoring of bridge health.
Through the integration of 3D laser scanning and stress sensing technologies, the system builds a bridge structural safety early warning model, providing real-time data support for preventive bridge maintenance.
The Slope and Under-Bridge Space Management programme uses drone high-precision scanning technology to implement comprehensive stereoscopic monitoring of roadbed high slopes; overcome terrain limitations to achieve intelligent identification of hazard points and deformation trend analysis, providing early warnings for geological disaster risks like landslides and collapses.
For concealed under-bridge spaces, the system uses aerial perspective scanning to quickly locate safety hazards like illegal dumping/stacking and unauthorized occupation, building a stereoscopic supervision network of “viewing from sky, inspecting from ground,” significantly improving the safety management efficiency of the surrounding environment of transportation infrastructure.
Guided by the national strategy of building a leading transportation nation, Suzhou continues to deepen the integrated innovation of artificial intelligence with water, land, and air transportation, striving to create a smart transportation ecosystem with international demonstrative effect. Relevant practical achievements have been included in typical case libraries of the Ministry of Transport, such as for digital transformation of highways and waterways, and pioneering smart transportation applications. In the future, Suzhou will further expand technology application scenarios, provide replicable and scalable Chinese experience for global urban traffic governance, and help build a safer, more efficient, and greener intelligent three-dimensional comprehensive transportation system.
For more information
https://mp.weixin.qq.com/s/KKdNkmh6oAcTHaTssDHzzg. Translated by 7ITSNEWS
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