S1
275° 2D LiDAR
R2
360° 2D LiDAR
H1EO-02A Network port
270° 2D LiDAR
H1E0-04D Network port
C287 Network port
C3 Network port+IO
Traditional manual measurement of truck geometric parameters no longer meets the needs of modern viaduct automated detection. Therefore, designing an automated detection-warning system capable of measuring vehicle height information is urgently needed. Once implemented, such a system will provide a basis for determining whether vehicles can safely travel on specific roads and offer scientific reference for urban traffic management.
When we think of modern cities, "heavy traffic" inevitably comes to mind. Indeed, with the acceleration of urbanization in China, road construction has become increasingly critical, and 3D traffic bridges are an indispensable part of today’s transportation system.
Detecting vehicle height, type, and lane information is crucial for the safety management of overpasses. We still recall the incident on December 31, 2019, when a railway bridge in Shandong Province was struck by an over-height truck, causing bridge deformation, traffic disruption, widespread delays for trains passing through the area, and cancellations of some services.
The train delays on New Year’s Eve significantly impacted people’s work and daily lives:
✦ Some had to cancel important meetings;
✦ Others missed scheduled gatherings;
✦ Many could only celebrate the New Year with instant noodles on high-speed trains.
✦Fortunately, no trains were passing during the accident, or the consequences would have been unimaginable.
The primary cause of the accident was an over-height cargo vehicle. So, what techniques do traditional traffic management agencies use to measure the geometric parameters of trucks?
The answer: Manual measurement using tools like "steel tape measures, height gauges, protractors, and ground clearance instruments." It sounds complicated!
This manual contact-based measurement method is labor-intensive, time-consuming, low in accuracy, and prone to errors, making it inadequate for modern transportation needs.
Thus, designing an automated detection-warning system for vehicle dimension measurement is essential. Below is a detailed introduction to the automated traffic monitoring system:
When a vehicle passes under a viaduct, a LiDAR detector measures its actual height. Paired with a vehicle dimension display screen and GPS communication module, the information is uploaded to a dispatch center and simultaneously notified to the driver and ground monitoring personnel. This significantly reduces manual labor and measurement errors.
A LiDAR profile detector is installed ahead of height-restricted sections to monitor the shape and size of passing vehicles in real time. Equipped with display screens and GPS modules, it alerts drivers about vehicle height, type, and restrictions while uploading data to the dispatch center. Upon detecting违规 (non-compliant) vehicles, personnel are dispatched immediately, or safety interception systems are activated. The system can also integrate surveillance for photo archiving.
This can be a dedicated navigation tablet, smartphone, or a universal app to provide real-time route guidance for drivers, preventing over-height vehicles from entering restricted sections.
The platform monitors the status of all height-restricted sections within its jurisdiction in real time. If vehicles are detected, law enforcement can be dispatched. The platform also plans routes for over-height vehicles, tracks deviations in real time, and sends alerts or directly contacts drivers who stray from assigned paths.
Once implemented, this system will provide a basis for evaluating whether vehicles can safely travel on specific roads, enabling effective management of over-height vehicles. It can be widely applied to protect high-speed railway bridges above highways, national roads, provincial roads, as well as urban viaducts, tunnels, and other height-restricted sections.