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2005 IEEE Intelligent Vehicles Symposium

作者： Li, Li Wang, Fei-Yue Kim, Hungman IEEE Department of Systems and Industrial Engineering University of Arizona Tucson AZ 85719 United States Key Laboratory for Complex Systems and Intelligence Science Chinese Academy of Sciences Beijing China Program for Advanced Research in Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson AZ 85719 United States Engineering School Northwestern Polytechnic University Fremont CA 94539

ISBN: (纸本)0780389611

Cooperative driving technology with aid of intervehicle communication attracts increasing interests recently. Under cooperative driving guidance, motion of individual vehicles can be conducted in a more safe and smooth manner. In this paper, cooperative driving at blind crossing (crossing without traffic lights) is studied. A concept named "safe driving patterns" is proposed to represent collision free movements of all encountered vehicles at crossings. The algorithm to determine a "safe driving pattern" is presented, too. The solution space of all allowable movement schedules is then described by a spanning tree in terms of safe driving patterns. Moreover, the corresponding trajectory planning technique considering lane changing around crossings is also discussed. © 2005 IEEE.

关键词： Street traffic control

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Design for self-organizing fuzzy neural networks using a novel hybrid learning algorithm

Design for self-organizing fuzzy neural networks using a nov...

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Congress on Evolutionary Computation

作者： Liang Zhao Fei-Yue Wang The Key Laboratory for Complex Systems and Intelligence cience Chinese Academy and Sciences Beijing China The Program for Advanced Research in Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson Tucson AZ USA

A novel hybrid learning algorithm to implement automatically structure identification and parameter optimization for designing a self-organizing TSK-Type fuzzy neural network (FNN) is proposed in this paper. It includes mean shift clustering algorithm (MSC) and mean firing strength method (MFS) which are employed to identify the network structure of fuzzy neural network (FNN) and the particle swarm optimization enhancing genetic algorithm (PSO-EGA) and the modified back-propagation algorithm (MBP) which are applied to learn the free parameters of it. That is, the MSC is used to partition the input vector space to generate initial network structure. Then the MFS is used to prune the least important rule neurons of initial structure and generate optimal network structure. After the structure identification is completed, the PSO-EGA is adopted to perform a global search in free parameter space of the FNN and seek a near- optimal initial free parameters point for the next stage. Then, it is considered as the initial weights of the FNN and the MBP is used to perform the learning process until a terminal condition is satisfied. The simulation experiment has verified that the proposed hybrid learning algorithm achieves superior performance in learning accuracy than those of some traditional methods.

关键词： Algorithm design and analysis Fuzzy neural networks Clustering algorithms Neural networks Fuzzy systems Particle swarm optimization Neurons Genetic algorithms Partitioning algorithms Clustering methods

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The design of self-organizing fuzzy neural networks based on Ga-ecpso and MBP

The design of self-organizing fuzzy neural networks based on...

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IEEE International Conference on systems, Man and Cybernetics

作者： Liang Zhao Fei-Yue Wang Key Laboratory for Complex Systems and Intelligence Science Chinese Academy and Sciences Beijing China Program for Advanced Research in Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson Tucson AZ USA

A novel hybrid learning algorithm which automates the design of the FNNs is proposed in this paper. It is based on two-stage learning process. First, mean shift clustering (MSC) and mean firing strength (MFS) are combined to identify the structure. The MSC is used to generate the initial network structure and parameters of each neuron and MFS refines the initial network to produce the optimal network structure. Next, genetic algorithm enhancing chaotic particle swarm optimization (GA-ECPSO) and modified back-propagation (MBP) are proposed to learn the free parameters. The GA-ECPSO is used to seek the near-optimal parameters solution and MBP continues the learning process until the terminal condition is satisfied. The simulation experiment demonstrates the superior performance of the algorithm.

关键词： Fuzzy neural networks Fuzzy sets Clustering algorithms Fuzzy systems Training data Partitioning algorithms Algorithm design and analysis Genetic algorithms Particle swarm optimization Neural networks

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Design for recurrent fuzzy neural networks using MSC-MFS and PSO-MBP

Design for recurrent fuzzy neural networks using MSC-MFS and...

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IEEE International Conference on systems, Man and Cybernetics

A novel hybrid learning algorithm for designing a TSK-type recurrent fuzzy neural network (RFNN) is proposed in this paper. The whole designing process includes two stages, i.e., structure identification and parameter optimization. The structure identification includes mean shift clustering (MSC) and mean firing strength (MFS). The MSC is used to partition the input space and the mean firing strength (MFS) is employed to prune the redundant rule neurons. After the structure identification is performed, we adopt the PSO to adjust the free parameters of the RFNN and generate the near-optimal free parameters solution. Then, MBP is used to continue the learning process until the terminal condition is satisfied. The proposed hybrid learning algorithm achieves superior performance in learning accuracy.

关键词： Fuzzy neural networks Recurrent neural networks Neural networks Neurons Fuzzy logic Feeds Feedforward neural networks Algorithm design and analysis Clustering algorithms Partitioning algorithms

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An Urban Traffic Control System Based on Mobile Multi-Agents

An Urban Traffic Control System Based on Mobile Multi-Agents

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IEEE International Conference on Vehicular Electronics and Safety (ICVES)

作者： Zhenjiang Li Fei-Yue Wang Qinghai Miao Feng He Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China Program for Advanced Research in Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson Tucson AZ USA Key Laboratory for Complex Systems and Intelligence Science Chinese Academy and Sciences Beijing China

This paper presents an urban traffic control system using the multi-agent technology, called aDAPTS for agent-based Distributed and Adaptive Platform for Transportation systems. Based on the proposed system architecture, we divide an urban traffic system into five different functional modules and define five types of agents correspondingly. The composition and structure of each agent is discussed in detail and the correlation among them is addressed. Methods for verification and validation in artificial transportation systems are also studied in this paper.

关键词： Traffic control Control systems Distributed control Transportation Intelligent agent Automatic control Hardware Environmental management Artificial intelligence Helium

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An LMI approach to robust vehicle steering controller design

An LMI approach to robust vehicle steering controller design

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International Conference on Intelligent Transportation

作者： Li Li Fei-Yue Wang Qunzhi Zhou Department of Systems and Industrial Engineering University of Arizona Tucson Tucson AZ USA Department of Systems and Industrial Engineering Program for Advanced Research in Complex Systems University of Arizona Tucson Tucson AZ USA Key Laboratory for Complex Systems and Intelligence Science Chinese Academy and Sciences China

Being parallel to frequency domain robust steering controller designs, time domain approaches attract considerable interest in the last decade. Based on previous research results, a synthesized time design framework is proposed in this paper. The design task is constructed as a multi-objective optimization problem which simultaneously considers system stabilization, disturbance rejection, actuator saturation and time delay. A mixed L/sub 1//H/sub /spl infin// robust controller is finally obtained by solving a set of linear matrix equalities (LMI) that guarantee driving performance requirements. Simulations show the effectiveness of the proposed design method.

关键词： Robust control Actuators Motion control Vehicle dynamics Frequency domain analysis Automatic control Design methodology Road accidents Intelligent vehicles Automated highways

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A watch in developments of intelligent tire inspection and monitoring

A watch in developments of intelligent tire inspection and m...

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IEEE International Conference on Vehicular Electronics and Safety (ICVES)

作者： Li Li Fei-Yue Wang Qunzhi Zhou Department of Systems and Industrial Engineering University of Arizona Tucson Tucson AZ USA The Program for Advanced Research in Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson Tucson AZ USA Key Laboratory for Complex Systems and Intelligence Science Chinese Academy and Sciences Beijing China

The comfort and safety of driving tightly depends on good working condition of the vehicle tires. However, it is not easy for people to estimate tire pressure, temperature and tire/road friction force etc. correctly, especially when driving on road. As a result, numerous novel tire sensors and inspection devices were developed in the last two decades to make driving more safe and comfortable. In addition, these approaches also related to scrap tire pollution and highway noise reduction. This paper presents a brief survey of the recent advances in this field with a special focus on SAW tire sensors.

关键词： Watches Tires Inspection Monitoring Vehicle safety Roads Employee welfare Vehicle driving Temperature sensors Friction

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Modeling interactions in artificial transportation systems using petri net

Modeling interactions in artificial transportation systems u...

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International Conference on Intelligent Transportation

作者： Fenghua Zhu Zhixue Wang Fei-Yue Wang Shuming Tang Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China Program for Advanced Research Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson Tucson AZ USA Key Laboratory for Complex Systems and Intelligence Science Chinese Academy and Sciences Beijing China Institute of Automation Shandong Academy of Sciences Jinan China

Agents and interactions between them are two key roles in modeling artificial transportation systems. This paper presents a formal theory to describe interactions between agents, which, together with the well developed models to describe components as agents, completes the first step towards establishing the formal structure for artificial transportation systems. By describing individual agents and the interactions between them as independent simple sequence processes and directive communication channels respectively, we models the whole system as one sequential communications system, which is one special type of Petri net. The theory is flexible enough to model diversified interactions between agents, and the resultant model possesses favorable properties. A case study of modeling road network has been conducted for the purpose of illustration

关键词： Transportation Intelligent systems Automation Traffic control System testing Communication channels Communication systems Roads Electronic mail Costs

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Anomalous Temperature Dependence of the Casimir Force for Thin Metal Films

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Physical Review Letters 2008年第9期101卷 096803-096803页

作者： V. A. Yampol’skii Sergey Savel’ev Z. A. Mayselis S. S. Apostolov Franco Nori Advanced Science Institute The Institute of Physical and Chemical Research (RIKEN) Wako-shi Saitama 351-0198 Japan and Department of Physics Center for Theoretical Physics Applied Physics Program Center for the Study of Complex Systems University of Michigan Ann Arbor Michigan 48109-1040 USA

Within the framework of the Drude dispersive model, we predict an unusual nonmonotonic temperature dependence of the Casimir force for thin metal films. For certain conditions, this force decreases with temperature due to the decrease of the metallic conductivity, whereas the force increases at high temperatures due to the increase of the thermal radiation pressure. We consider the attraction of a film to: either (i) a bulk ideal metal with a planar boundary, or (ii) a bulk metal sphere (lens). The experimental observation of the predicted decreasing temperature dependence of the Casimir force can put an end to the long-standing discussion on the role of the electron relaxation in the Casimir effect.

关键词： .nonmonotonic Experimental observation ideal metal Chemical research ANOMALOUS TEMPERATURE metal sphere thin metal metal films

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Cooperative driving and lane changing at blind crossings

Cooperative driving and lane changing at blind crossings

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IEEE Symposium on Intelligent Vehicle

作者： L. Li Fei-Yue Wang H. Kim Department of Systems and Industrial Engineering University of Arizona Tucson Tucson AZ USA Program for Advanced Research in Complex Syskms Department of Systems and Industnal Engineering University of Arizona Tucson Tucson AZ USA Key Laboratory for Complex Systems and Intelligence Science Chinese Academy and Sciences Beijing China Engineering School of NorthWestern Polylechnic University Fremont CA USA

Cooperative driving technology with aid of inter-vehicle communication attracts increasing interests recently. Under cooperative driving guidance, motion of individual, vehicles can be conducted in a more safe and smooth manner. In this paper, cooperative driving at blind crossing (crossing without traffic lights) is studied. A concept named "safe driving patterns" is proposed to represent collision free movements of all encountered vehicles at crossings. The algorithm to determine a "safe driving pattern" is presented, too. The solution space of all allowable movement schedules is then described by a spanning tree in terms of safe driving patterns. Moreover, the corresponding trajectory planning technique considering lane changing around crossings is also discussed.

关键词： Vehicle driving Vehicle safety Trajectory Intelligent vehicles Road safety Road accidents Intelligent systems Control systems Road vehicles Navigation

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