Research And Design Of Intelligent Traffic Command And Control System Based On The Internet Of Things

The traffic command and control system is moving towards more intelligence.The development of electronic technology has given birth to a traffic command and control system with multiple control methods.The development of computers has given birth to a more intelligent networked traffic command and control system,artificial intelligence,big data and The development of algorithms makes the traffic command and control system more efficient and more functional.At the same time,the development of low-power IoT communication technologies represented by LoRA and NBIOT has brought new ideas to intelligent traffic command and control systems.Based on the characteristics of the traditional traffic command and control system,combined with the development of the current Internet of Things technology,this paper proposes an intelligent traffic command and control system based on the Internet of Things technology.Through electronic means,vehicles are buried at various intersections,main roads,and traffic monitoring points.The traffic monitoring terminal monitors the traffic flow,and the real-time traffic flow data is sent to the LoRa gateway through the LoRa wireless network,and the gateway is responsible for transmitting data and implementing protocol conversion.LoRa data is sent to the cloud platform of the traffic command and control system.The cloud platform processes the data.Through data processing and self-learning,the optimal control result is obtained through the neural network BP model.The cloud platform sends the result to the LoRA gateway,and the gateway forwards it to the corresponding After analyzing the data,the terminal completes a traffic signal control.This kind of traffic control method adopts a macroscopic approach and is not aimed at a certain intersection,but improves the efficiency of the system from the perspective of the overall network,thereby improving the efficiency of the entire city's traffic operation.The vehicle flow monitoring terminal uses STM32 single-chip microcomputer and NC-200 geomagnetic detection module to monitor vehicle flow.The single-chip microcomputer sends vehicle flow data to the LoRa gateway through the LoRa module,and the gateway forwards the data to the traffic command and control system cloud platform.Processing and neural network self-learning to obtain the optimal processing result,and issue instructions to the terminal to achieve control.The four parameters of the traffic control system are control period,control phase,control phase difference,and green signal ratio.Adjusting these four parameters can change the passing efficiency of traffic flow.The hardware design of the system mainly includes the minimum system circuit of the single-chip microcomputer,the NC-200 geomagnetic detection module,and the LoRa module.These three parts constitute the vehicle flow monitoring terminal.The LoRa gateway uses a purchased finished gateway.The software design of the system,including the data transmission between the MCU and the NC-200 module,uses a custom protocol.Data upload and acquisition use the LoRaWAN protocol.After the traffic data is transmitted to the cloud platform,the cloud platform establishes a BP model through a neural network,and uses a 3-layer BP neural network to model the intersection.The input layer and output layer nodes of the BP neural network The numbers are all 4.The number of neurons in the hidden layer adopts self-learning to get the best results.Finally,through simulation,the theoretical data and actual data are compared,and the data results show that the optimization effect is obvious.Finally,the system is summarized and prospected,and the characteristics of the intelligent traffic command and control system based on the Internet of Things are summarized.It is verified from the data that this system can effectively solve the urban traffic flow efficiency from the macroscopic overall.At the same time,there is a secondary development interface on the design interface,which can facilitate the introduction of other functions in the later period.The entire system is not only efficient,but also flexible and easy to maintain.