Traffic Signal Light Control System Based on Internet of Things
With the continuous acceleration of urbanization,traffic congestion has become a major challenge that restricts the sustainable development of cities.In intelligent transportation systems,traffic lights,as a key component,play a crucial role in the management and optimization of road traffic.To improve traffic efficiency and reduce traffic congestion,this article explores an intelligent traffic signal control system based on the Internet of Things.Firstly,the system composition of traffic signal lights was introduced.Secondly,a self-adaptive control algorithm based on the Internet of Things is proposed to meet the optimization requirements of traffic signal control.Finally,a traffic signal simulation interface was constructed and interactive control buttons were designed.The experimental results show that the proposed adaptive control algorithm can effectively improve road traffic efficiency,reduce traffic congestion,and provide important references for the further optimization and development of intelligent transportation systems.
traffic lightsadaptive controlInternet of Thingsintelligent transportation
万方数据
维普
