Design and Implementation of Intelligent Traffic Signal Control System Based on Internet of Vehicles Technology
With the acceleration of urbanization,traffic congestion has become a bottleneck restricting urban development.This paper proposes an intelligent traffic signal control system based on Internet of Vehicles technology in view of the difficulty of traditional traffic signal control systems in meeting the challenges of complex and changeable traffic environments.The system collects traffic flow data in real time through vehicle-road collaboration technology,and uses dynamic signal timing optimization algorithms to adaptively adjust the signal timing scheme according to real-time traffic conditions.The overall architecture of the system includes data acquisition layer,data transmission layer,data processing layer and signal control layer.Key technologies include real-time traffic flow data collection based on the Internet of Vehicles,dynamic signal timing optimization algorithms,etc.The article introduces the system design ideas,hardware platform selection and software development process in detail,and verifies the feasibility and effectiveness of the system through simulation experiments.Experimental results show that the system can significantly shorten the vehicle delay time and queue length,and improve road traffic efficiency.
intelligent transportationsignal controlinternet of vehiclesdynamic optimizationtraffic congestion
万方数据
维普
