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Research on Intelligent Traffic Signal Control System of Single Intersection

Author: DiZhenFeng
Tutor: SunTongJing
School: Shandong University
Course: Control Theory and Control Engineering
Keywords: Single intersection Fuzzy Neural Network VxWorks VISSIM Analog signal
CLC: TP273.5
Type: Master's thesis
Year: 2009
Downloads: 308
Quote: 2
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Abstract


With the accelerated process of urbanization, traffic congestion has become increasingly serious, how to solve this problem is widespread concern. Single intersection is the basic element of the urban road network, their control effect, determines the performance of the entire traffic control system. Traditional control method is relatively mature, but can not meet the increasingly complex urban traffic conditions; simple intelligent control method achieved some results, but the practical application is less room for improvement. Therefore, the study single intersection signal automatic control system has become an important research direction. This paper analyzes the existing single intersection traffic signal control method, and pointed out that they are the common problems with program cured, and put forward a real-time self-learning fuzzy neural network control method. For the achieve complete signal automatic control system, design the signal controller, receiver front-end Loop Detector vehicle inspection information, process the data and perform signal automatic control algorithm to control the intersection signal phase, the drive signal lights countdown to complete the traffic signal The automatic control. Specific work as follows: the hardware side, the paper design of traffic signal control device. Master module as the core to the company's 32-bit microcontroller Freescale MCF5272 processor, the expansion of a large number of peripheral interfaces, including serial communications, Ethernet and USB interfaces, in order to meet the operational requirements of embedded systems, but also to give full play to the communication function; expansion of the external FLASH and SDRAM memory. The vehicle detection module discusses vehicle detector is set, the data acquisition circuitry is designed for analysis and processing real-time collection of traffic flow information and provide to the master module. Phase driving module design phase controls the driving circuit, the receiving master module control strategy, the driving lights to complete the traffic signal control. Software design, this article introduced VxWorks embedded operating system, the modular design of multi-tasking, including state detection, control strategies and the phase-driven task module, they are interrelated data communication tasks, the traffic flow data collection, traffic signal control strategy , as well as signal lights drive to complete the traffic signal control. The paper also designed PC software, including the two parts of the site configuration terminal and the remote client, respectively, to achieve external control signal control device. Based on the analog signal of the self-developed software, With the help of the the VISSIM simulation system field experiments, the results show that this paper, fuzzy neural network signal control method to reduce the vehicle delay and number of stops, a single intersection vehicle capacity, so effective. Hardware platforms and system software design feasibility protection, VxWorks embedded system, the system stability is improved, and the design has a broad application prospects.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system > Computer control, computer control system
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