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Urban Bus Signal Priority Intelligent Control Algorithm

Author: ZhaoXiang
Tutor: ZhouFengYu
School: Shandong University
Course: Control Theory and Control Engineering
Keywords: Intelligent Transportation Systems Bus priority Fuzzy Control Technology Per capita delay Phase Computer Simulation
CLC: U491.51
Type: Master's thesis
Year: 2008
Downloads: 246
Quote: 5
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Abstract

Due to the development of the global economy, the rapid growth of the urban population and motor vehicles, the countries in the world most cities are facing huge traffic pressure. Congestion, parking difficulties in urban traffic problem has always been the difficulty of urban transport planning and management of national urban planning and transportation planning experts for this depth that limit private way to travel, and to encourage bus travel is way out. Establish the strategic position of the BRT system. Common shortcomings of the existing domestic bus system: vehicle positioning accuracy is not high enough, the communication is not timely; reconnect after the break slow, and timing control flexibility, global per capita delay higher junction. Thesis appeal the case, priority technical signalized intersection. Using fuzzy controller based on radio frequency identification technology point positioning system based on bus priority. Point positioning system vehicle positioning accuracy must be possible to ensure timely communication. The value of the fuzzy controller bus delays and phase to be the line queue length for input and output current phase green light delay, to achieve the minimum number of total intersection delay optimal control. Firstly, on various intersection traffic delays theory and queuing delays formula has done a lot of research, comparing the advantages and disadvantages of various related algorithms, fuzzy control theory and the theory of traffic flow through the in-depth study, city bus signal priority intelligent control algorithm. Semaphores to control the manner and to the classification of the traffic control system through the introduction of urban road traffic control system, combined with the traffic flow control theory, adaptive control system and a single point of control to reduce time delays traffic accidents, greatly improving traffic lights the efficient use of road transport facilities. By introducing the advantages and disadvantages of the existing common bus detection system, combined with bus signal priority control strategy, cf Beijing has built BRT examples point positioning based on radio frequency identification technology program. The system has many advantages of the other tests and do not have the GPS positioning system. Having good directivity, the recognition distance is adjustable. Without road construction, simple and low-cost vehicle equipment. Two-way data communication can be achieved, capable of carrying more information. In order to overcome the bus the timing priority signal control inflexible shortcomings numerical bus delays and phase to be line input queue length, and delay for the output to the current phase of the green light, to achieve the minimum number of total intersection delay optimal control bus priority fuzzy control algorithm. The algorithm per capita delays the bus priority optimization goals, taking into account the vehicle delay as a priority target, and the number of passenger in public transport vehicles, in-depth discussion of the extent of the bus was late. On the basis of summing up the results of previous studies on how considering the implementation of bus priority fuzzy control for a detailed study on the basis of the degree of social vehicles and buses delayed two factors to be the line, the algorithm to establish the corresponding fuzzy control The and with Matlab6.5 for simulation, simulation results show the effectiveness of the fuzzy algorithm, fuzzy control algorithm delays number is 26.6% lower than the average number of delays in the timing control.

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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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