How AI Improves Traffic Signal Efficiency in Urban Intersections

Urban traffic congestion has become a major challenge affecting travel efficiency and quality of life, and traditional traffic signal control, which relies on fixed timing, can no longer adapt to the dynamic changes of road traffic flow. To solve this problem, EnerTraffic integrates artificial intelligence technology into traffic signal control, realizing intelligent adjustment of signal timing and effectively improving traffic operation efficiency.

First of all, AI technology can realize real-time collection and analysis of traffic flow. Through radar detection equipment and video surveillance, we can accurately obtain the number of vehicles, speed, and queue length at each intersection in real time, and dynamically judge the traffic demand of each direction. Compared with the traditional fixed timing mode, which is easy to cause "empty green lights" or long queues in some directions, AI can adjust the signal cycle and green light time of each phase according to the real-time traffic data, ensuring that the traffic flow of each direction is reasonably allocated, reducing the waiting time of vehicles and improving the passing efficiency.

Secondly, AI can identify special traffic scenarios and make targeted adjustments. For example, in the peak hours of morning and evening rush, when the traffic flow surges, AI can automatically extend the green light time of the main road to speed up the evacuation of vehicles; in the off-peak period, it can shorten the signal cycle to avoid unnecessary waiting. At the same time, for special groups such as pedestrians and non-motor vehicles, AI can accurately identify their movement trajectories and give priority to ensuring their safety, reducing traffic accidents.