Journal of Engineering Research

As urban traffic pressure continues to increase, traditional traffic signal control methods can no longer meet the demands of real-time and efficient traffic management. This paper proposes an adaptive control system for smart city traffic signals based on LoRa communication technology. By using a low-power wide-area network, it achieves real-time data transmission between traffic signals and sensors, combined with dynamic adjustment of signal cycle based on traffic flow, to realize intelligent optimization of traffic flow. The system not only improves traffic efficiency and reduces vehicle waiting time, but also enhances the system's scalability and reliability, providing an innovative solution for smart city traffic management. Experimental results show that the system demonstrates superior performance and stability in practical applications.

LoRa; Smart city; Traffic lights; Adaptive control; Traffic management