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The Research Of Urban Intelligent Traffic Signal Control System

Posted on:2005-12-31Degree:MasterType:Thesis
Country:ChinaCandidate:Y W XiaoFull Text:PDF
GTID:2132360125469277Subject:Power electronics and electric drive
Abstract/Summary:PDF Full Text Request
On background of fund project of Hunan Province Education Office — the Research of Urban Intelligent Traffic Signal Semaphore System, this paper makes research on urban traffic signal control. The author collected and researched for lots of domestic and overseas articles. Firstly, the paper analyzes and studies for urban traffic flow theory and urban traffic signal system control. Then, the paper proposes a adaptive method which adopts the multi-objective genetic optimization algorithms to optimize phase duration time on each intersection. It bases on traffic network simulation model with five intersections in mini-district which is described in paper [29]. And it is implemented in a simulation circumstance. Under the MATLAB environment, the author accords to the rules which make the total number of waiting vehicles minimize in a cycle when the green signal is ending, and make the total number of waiting vehicles as less as possible at the end of a cycle on each lane of the intersection. The traffic flow of next cycle is forecast and allocated the best phase time in real-time by fixing the cycle on each intersection. The result indicates that it is feasible. Compared with the fixed-time control under the same traffic flow, the new measure obviously reduces the total waiting vehicles at the end of green in a cycle, especially when the traffic flow is busy. The paper also introduces in detail a set of whole design Intelligent Traffic Signal System. Hardware mainly includes the kernel control circuit, man-machine interface circuit, communication interface circuit, urgent circuit, power drive circuit and so on. Moreover, the system software is briefly introduced which includes main program, kernel disposing program, communication program and the produced data of allocating signal time and color for traffic semaphore, and the program of integrate environment on upper-machine. At last, the test results show that the system can realize the sequence control of multi-phase and variable phase. Improved slightly to the actual application, it can be solved the problem of mixture traffic flow to some extent.
Keywords/Search Tags:Urban traffic flow, Urban traffic control system, Intelligent traffic semaphore, Area traffic network, Genetic algorithms, Multi-objective optimization
PDF Full Text Request
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