The Experts below are selected from a list of 4449 Experts worldwide ranked by ideXlab platform
Huixian Huang - One of the best experts on this subject based on the ideXlab platform.
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urban Trunk Road traffic signal coordinated control based on multi objective immune algorithm
International Asia Conference on Informatics in Control Automation and Robotics, 2009Co-Authors: Pei Luo, Huixian HuangAbstract:In order to reduce traffic delay, a novel urban Trunk Road traffic signal coordinated control method was presented. Firstly, a multi-objective immune algorithm based on multi-population was proposed. By this way, it can effectively prevent population retrogression; promote diversity and the whole optimal searching ability of genetic algorithm. Considering the traffic delay of the uplink vehicles and the down vehicles at different times on the Trunk Road, the objection function for total delay is set up, and the objection function optimization based on multi-population immune algorithm is implemented through adjusting the phase difference at intersections. Finally, compared with the genetic algorithms and the method of fixed phase difference, the simulation results of this novel control method have verified the obvious advantage.
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Modeling and Simulation of Urban Trunk Road Traffic Signal Coordinated Control Based on Immune Algorithm
2009 International Conference on Advanced Computer Control, 2009Co-Authors: Pei Luo, Huixian HuangAbstract:In order to reduce traffic delay, a novel urban Trunk Road traffic signal coordinated control method using a multi-Population immune algorithm was presented. Considering the traffic delay of the uplink vehicles and the down vehicles at different times on the Trunk Road, the objection function for total delay is set up, and the objection function optimization based on multi-Population immune algorithm is implemented through adjusting the phase difference at intersections. Finally, compared with the genetic algorithms and the method of fixed phase difference, the simulation results of this novel control method have verified the obvious advantage.
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CAR - Urban Trunk Road Traffic Signal Coordinated Control Based on Multi-Objective Immune Algorithm
2009 International Asia Conference on Informatics in Control Automation and Robotics, 2009Co-Authors: Pei Luo, Huixian HuangAbstract:In order to reduce traffic delay, a novel urban Trunk Road traffic signal coordinated control method was presented. Firstly, a multi-objective immune algorithm based on multi-population was proposed. By this way, it can effectively prevent population retrogression; promote diversity and the whole optimal searching ability of genetic algorithm. Considering the traffic delay of the uplink vehicles and the down vehicles at different times on the Trunk Road, the objection function for total delay is set up, and the objection function optimization based on multi-population immune algorithm is implemented through adjusting the phase difference at intersections. Finally, compared with the genetic algorithms and the method of fixed phase difference, the simulation results of this novel control method have verified the obvious advantage.
Pei Luo - One of the best experts on this subject based on the ideXlab platform.
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urban Trunk Road traffic signal coordinated control based on multi objective immune algorithm
International Asia Conference on Informatics in Control Automation and Robotics, 2009Co-Authors: Pei Luo, Huixian HuangAbstract:In order to reduce traffic delay, a novel urban Trunk Road traffic signal coordinated control method was presented. Firstly, a multi-objective immune algorithm based on multi-population was proposed. By this way, it can effectively prevent population retrogression; promote diversity and the whole optimal searching ability of genetic algorithm. Considering the traffic delay of the uplink vehicles and the down vehicles at different times on the Trunk Road, the objection function for total delay is set up, and the objection function optimization based on multi-population immune algorithm is implemented through adjusting the phase difference at intersections. Finally, compared with the genetic algorithms and the method of fixed phase difference, the simulation results of this novel control method have verified the obvious advantage.
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Modeling and Simulation of Urban Trunk Road Traffic Signal Coordinated Control Based on Immune Algorithm
2009 International Conference on Advanced Computer Control, 2009Co-Authors: Pei Luo, Huixian HuangAbstract:In order to reduce traffic delay, a novel urban Trunk Road traffic signal coordinated control method using a multi-Population immune algorithm was presented. Considering the traffic delay of the uplink vehicles and the down vehicles at different times on the Trunk Road, the objection function for total delay is set up, and the objection function optimization based on multi-Population immune algorithm is implemented through adjusting the phase difference at intersections. Finally, compared with the genetic algorithms and the method of fixed phase difference, the simulation results of this novel control method have verified the obvious advantage.
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CAR - Urban Trunk Road Traffic Signal Coordinated Control Based on Multi-Objective Immune Algorithm
2009 International Asia Conference on Informatics in Control Automation and Robotics, 2009Co-Authors: Pei Luo, Huixian HuangAbstract:In order to reduce traffic delay, a novel urban Trunk Road traffic signal coordinated control method was presented. Firstly, a multi-objective immune algorithm based on multi-population was proposed. By this way, it can effectively prevent population retrogression; promote diversity and the whole optimal searching ability of genetic algorithm. Considering the traffic delay of the uplink vehicles and the down vehicles at different times on the Trunk Road, the objection function for total delay is set up, and the objection function optimization based on multi-population immune algorithm is implemented through adjusting the phase difference at intersections. Finally, compared with the genetic algorithms and the method of fixed phase difference, the simulation results of this novel control method have verified the obvious advantage.
Zhao Guoyong - One of the best experts on this subject based on the ideXlab platform.
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One-way Traffic Trunk Road Coordination Control Based on Zhongguancun West Zone
Computer Communications, 2006Co-Authors: Zhao GuoyongAbstract:Firstly,this paper analyzed the specific situation of one-way traffic Trunk Road in Zhongguancun West Zone.Then,based on decomposition-coordination idea of large scale system theory,this paper proposed a scheme of traffic Trunk Road coordination control,which can carry out both green wave coordination control and decomposition-coordination control under decision-making switch's control,according to the traffic situation's variation.In addition,the validity of the algorithm is proved by Paramics simulation.
Sun You-xian - One of the best experts on this subject based on the ideXlab platform.
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Hierarchical Fuzzy Control for Urban Traffic Trunk Roads and Its Neural Network Implementation
Systems Engineering - Theory & Practice, 2004Co-Authors: Sun You-xianAbstract:This paper uses the principle of decomposition-coordination for large-scale systems, fuzzy theory and neural networks technique to solve the real time arterial coordinated control problem. The urban traffic Trunk Road is regarded as a large system, and the subsystems are the intersections in the Trunk Road. A neural network implemented two-level coordinated fuzzy control method is presented. The second layer adjusts on-line signal cycle and splits of every intersection. Based on the traffic volume data measured from every intersection the first layer coordinates the number vehicle between the adjacent intersections, the object of the controller is to make the traffic Trunk Road unblocked and the average vehicle delay time shorten. The simulation shows the proposed method has better performances than the vehicle actuated method.
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A traffic flow model and intelligent control technique for urban Trunk Road
Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788), 1Co-Authors: Shen Guojiang, Sun You-xianAbstract:This paper uses large-scale systems decomposition-coordination principle, fuzzy theory and neural networks technique to solve the problem of real time coordinated control for urban Trunk Road. Firstly, a neural macroscopic dynamic model based on the Kashani model for urban Trunk Road is proposed. Secondly, a two-level coordinated fuzzy control method implemented by neural network is presented. Based on the traffic volume data measured from each intersection the coordinated layer is coordinated with the number vehicle between the adjacent intersections. The operating layer adjusts on-line signal cycle and splits of every intersection. The object of the control method is to unblock the traffic Trunk Road and to shorten the average vehicle delay time. The simulation shows the proposed method has better performance than the fixed time control method.
Hu Feiyu - One of the best experts on this subject based on the ideXlab platform.
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Urban Trunk Road Traffic Signal Coordination Control Based on Fuzzy Logic Control Algorithm
Computer Communications, 2008Co-Authors: Hu FeiyuAbstract:Urban Trunk Road is the main carrier of urban traffic.The unimpeded Trunk Road plays an important role in improving the capacity of urban Road and relieving urban traffic congestion.Urban transportation system is a system with uncertain object and complex structure.The main traffic control mode of urban Roadway is the control of traffic signal.From the perspective of traffic signal control,the control strategy of urban Trunk Road traffic signal and its optimal parameters(cycle length,split,and offset) were analyzed to deal with the uncertainty and complexities of the system.The optimum control of urban Trunk highway was realized based on fuzzy control with the combination of the traffic situation in Wuhu Road,Hefei City.The result was compared through fuzzy coordination control scheme,traditional algebraic coordination scheme,and single point control scheme.The result shows that the fuzzy control scheme is evidently much better than the other two schemes.
