Research On Intelligent Traffic Signal Control System Of Single Intersection

Traffic congestion is becoming increasingly serious with the urbanization and how to solve this problem effectively widespread concern for people. Single-crossings are basic elements of the city traffic network, control effect of which determine the performance of the whole system. Traditional signal control methods can not adapt to the increasingly complicated urban traffic conditions though application of them are relatively sophisticated; Ordinary intelligent control methods have achieved some results. But they must be improved because of less practical applications. Therefore, It becomes an important research direction that exploring effective methods for signal automatic control of intersections.This paper analyzes the existing traffic signal control methods of single intersection and indicates they coexist with questions that the parameters are fixed. So it makes a real-time self-learning fuzzy neural network control methods. For the integrated realization of signal automatic control system, it designs a signal control device which receives information from the front-end coil ring detector. The device processes the data and executes signal control algorithm. Then the signal phases of intersection are controlled and the countdown lights are drived. In the end the traffic signals achieved to be automatic controlled. Some specific jobs are as follows:On hardware, this paper designed a traffic signal control device. The main control module uses a Freescale's 32-bit single-chip microcomputer MCF5272 for the core processor and expands large numbers of peripheral interfaces, including the serial communication interface, Ethernet interface, USB interface, so as to make full use of the communications function. To meet the embedded system's operational requirements external FLASH and SDRAM memory are expanded. The vehicle detection module discusses the installation of vehicles seized and designs the data acquisition circuit. It can collect real-time traffic information for the main control module's analysis and processings. The phase-drive module designs drive circuit of light-controlled. This part receives phase-controlled strategy and drives the lights for traffic flow signal control. On software design, in this paper we introduce VxWorks embedded operating system and design modular missions including the status detection module, control strategies and phase-drive module. All these modules contact through data communication module and realize the traffic data collection, traffic signal control strategy, as well as trigger of signal lights to complete the traffic flow control. This article also designs PC softwares, including on-site configured and the remote client terminals which implement external control of signal control device.Based on the self-developed software analog signal, this article uses VISSIM simulation system to do lots of experiments. And the results show that the fuzzy neural network signal control method proposed in this paper reduces vehicle delays and stops and improves the single-vehicle intersection capacity. So it is proved effective. Both hardware platform and system software provide feasibility of the design. And the stability of the system is improved by introduction of embedded system VxWorks. So this design has broad application prospects.