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Design and Implementation of Urban Intersection Traffic Signal Fuzzy Control System

Author: YiJunHua
Tutor: YangChunHua
School: Central South University
Course: Control Engineering
Keywords: Intersection traffic lights Fuzzy Control Average vehicle waiting delay SCM control system
CLC: U491.51
Type: Master's thesis
Year: 2010
Downloads: 261
Quote: 1
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Abstract


With China 's rapid economic development and urbanization process accelerated, recent sharp increase in the number of vehicles in major cities , the traffic problem has become an urgent livelihood issues. Urban transport systems for road vehicles when traffic has greater variability and randomness , the traditional intersection signal control method has been difficult to meet the intersection traffic volume , grooming time requirements. To solve this problem , fuzzy logic algorithms , a kind of real-time intelligent traffic signal control system . The system uses sensors in each vehicle counting traffic intersection , according to the design of a single intersection status variable two-dimensional fuzzy logic controller. The controller waits for the number of vehicles and the number of vehicles crossing direction as the difference between waiting for input , the green light delay as output. Among them, the fuzzy control rule table offline into a lookup table , and stored in a computer system for online inquiries . Practical application , the system waits through the look-up table based on the number of vehicles crossing changes automatically adjust green time . This paper presents the intelligent traffic signal control system hardware and software design. System AT89S52 microcontroller as the core , the use of a keyboard and monitor Intel8279 chip interface circuit , using C language developed a traffic light control, power -driven, green features such as traffic lights cut fuzzy logic controller. Intersection traffic using examples of two different signaling methods for simulation experiments and field measurements to compare. Experimental results show that the sensor control method is superior to multi-period fixed cycle control , in the case of smaller flow intersections show more prominent. Although real-time traffic data and status constantly updated, but still real fuzzy control system to ensure the best utilization of the intersection , shortening the average vehicle waiting delay time .

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CLC: > Transportation > Road transport > Technical management of traffic engineering and road transport > Traffic engineering and traffic management > Line of traffic safety facilities > Traffic signals
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