What is' running the green light '?
According to Article 53 of the Implementation Regulations of the Road Traffic Safety Law of the People's Republic of China, when motor vehicles encounter traffic congestion at the intersection ahead, they should stop outside the intersection in sequence and wait, and are not allowed to enter the intersection. If the vehicle continues to drive to the intersection for "congestion" at this time, this situation will be considered as "running the green light" behavior, and points will be deducted and fines will be imposed (according to local standards).
Under what circumstances is it considered 'running the green light'?
1. Driving at congested intersections
When a vehicle passes through an intersection controlled by traffic lights or signs, and encounters traffic congestion at an intersection with a direction of travel, the vehicle should stop outside the intersection in sequence and wait, and must not enter the intersection. Otherwise, it is considered a "green light running" behavior.
3. Left behind vehicles at the previous intersection without yielding
Under green light conditions, a straight ahead vehicle does not yield to a left turning vehicle that left in the middle of the intersection during the previous traffic light period. This situation also belongs to the behavior of "running the green light".
How to detect "green light running" behavior, a 3D-AI multi-objective detector scheme
3D-AI multi target detector
The difficulty in detecting 'green light running' behavior lies in the judgment of queue length and vehicle speed. The new D-AI multi-objective detector integrates edge computing capabilities into the sensor, and through reliable 3D-AI multi-objective detection algorithms, it can analyze the position and speed information of each vehicle in the screen in real-time. Through this information, it can determine whether there is queue congestion or vehicle stopping phenomenon.
Advantages of using 3D-AI multi-objective detector scheme
1. Provide accurate detection capabilities in all weather environments (visible light versions are recommended for general urban intersections, and thermal imaging versions are recommended for intersections with poor illumination)
2. Provide reliable multi lane real-time traffic flow data, including vehicle location, model, vehicle speed, and other information, which can serve as the sensing and perception layer infrastructure for urban smart transportation big data.
3. Combined with a license plate capture camera, it can be used to judge various traffic behaviors such as illegal lane changing, illegal turning, vehicle retrograde, queue length at highway toll gates, tunnel violations, and highway violations.
4. Compact in size, easy to install and debug on site.
