What is the Principle of Emergency Lane Capture?
2 Answers
The principle of emergency lane capture is to determine whether a vehicle crosses the solid line. Vehicles that cross the line are captured, and the captured photos are then uploaded for manual analysis and processing. Currently, road cameras are widely deployed, and many sections are under real-time monitoring. If you use the emergency lane during traffic congestion, the probability of being captured is very high. The cameras for capturing illegal use of the emergency lane are usually set up beside the road, with a capture distance of about 150 meters. The emergency lane is specifically reserved for official vehicles such as ambulances, fire trucks, and police or military vehicles during emergencies. It is located on the far-right lane of highways, separated by a solid white line. Under normal circumstances, private vehicles are not allowed to use the emergency lane. However, if a vehicle breaks down or encounters an unsolvable issue, it can temporarily stop in the emergency lane to request assistance, provided that personal safety is ensured.
I'm the type who loves delving into technology, and I think the emergency lane monitoring system on highways is pretty cool. The principle is based on smart cameras combined with algorithms for real-time monitoring. Simply put, the cameras are installed on overpasses or roadside, equipped with sensors and AI vision technology to automatically detect if a vehicle illegally enters the emergency lane. Once a violation is detected, such as a car driving into the lane during prohibited hours, the system triggers the photo function to capture the license plate number and location data. The core is video stream analysis, tracking vehicle trajectories to avoid normal lanes, ensuring only violations are recorded. The data is then transmitted back to the traffic police center to generate fines. This eliminates the limitations of manual patrols, but the equipment is susceptible to weather conditions, such as rain or fog potentially causing misjudgments, so infrared fill light or radar is necessary. Regular calibration during maintenance is key to keeping the system accurate and efficient.
