Intelligent zebra crossing vehicle pedestrian warning system makes travel safer
The intelligent Pedestrian warning system solution for zebra crossing vehicles is a traffic safety facility that uses video surveillance and artificial intelligence technology to remind passing vehicles to yield to pedestrians and slow down. Through real-time monitoring of pedestrians and vehicles on the zebra crossing, as well as the status of traffic lights, the pedestrian warning system anticipates possible traffic incidents and accident risks, and sounds and lights are issued by the roadside equipment cloud broadcast speakers, AI dish lights, and all-luminous signs according to the situation to remind passing vehicles to yield to pedestrians and slow down.
The intelligent zebra crossing pedestrian warning system can reduce the safety hazards of nighttime lighting and non-signal intersections, solve the problem of insufficient pedestrian distance when the speed is fast, solve the difficulty of vehicle identification of pedestrians when the visibility is low in bad weather, alert pedestrians over zebra crossings, and solve the safety hazards of "phubbers". This scheme improves the sense of security of pedestrians and protects the rights and interests of pedestrians, while reducing the waiting time and congestion of vehicles at the zebra crossing, improving the road capacity and vehicle passing efficiency.
Through the AI behavior recognition algorithm embedded in the front-end sensing equipment, the pedestrian warning system of zebra crossing vehicles can analyze the behavioral characteristics of multiple traffic participants such as people, vehicles and non-motor vehicles in real time, determine the possibility and danger level of conflicts, automatically turn on the multi-dimensional sound and light warning, silence when there is no incident, and low-carbon environmental protection. The early warning effect has been widely praised, guiding the focus of supervision from "accident handling" to "advance warning", and reducing the adverse social impact of the accident caused by the collision between people and vehicles from the source.
