Research On Intelligent Traffic Signal Coordinated Control System

Congestion in urban traffic is a problem commonly concerned around the world, and the harmful results that produce are increasingly affecting our daily life and the development of our society, and the traffic signal control system plays an important part to solve this problem. In this paper, aiming at the status of the urban traffic in China, an intelligent traffic signal control system is designed and developed, and the dynamic optimization and control techniques for urban traffic signal are mainly studied and its realization in DSP is also discussed.Intelligent Transportation System includes many technique fields, and the paper mainly studies the traffic signal machine. The main achievements of this paper are as follows:(1) A main control board circuitry based on high performance float-point DSP is designed. The interface design of bus communication module and main control board obeys the united standard, so it enhances the system applications.(2) In order to improve the expansibility, the LonWorks Bus communication module is planed to realize the data transfer of every part of signal machine and external equipments. The Neuron chip is the key part of this module and local bus topolopy heightens the stability and reliability.(3) A GPRS wireless communication module is build to satisfy different demands. It can accomplish the dada communications between the main control board and the remote controller, image collection module, next traffic signal machine.(4) To enhance the reliability, system docs the anti-jamming design from hardware and software. It adopts many measures to guarantee the system works successfully, including Cyclic Redundancy Check, software trap, instrument redundance, power watchdog, and so on.(5) Aiming at the signal control problem of the isolated intersection, a dynamic optimization and control method is put forward, whose objective is to minimize the total delay queue vehicles over the whole control period, and the method is been realized in DSP. The result indicates that the proposed method can greatly improve the traffic condition compared with the traditional fixed-time control method.