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Connecting SCOOT to CORSIM: Real-time signal optimization simulation

Connecting SCOOT to CORSIM: Real-time signal optimization si...

引用

27th Annual conference of the IEEE Industrial Electronics Society IECON'2001

作者： Perrin Jr., Joseph Martin, Peter T. Hansen, Blake G. University of Utah Civil and Env. Engineering 122 S. Central Campus Dr. Rm 104 Salt Lake City UT 84112 United States

Adaptive signal control systems react to traffic in real-time and adjust the signal timings to improve signal efficiency. SCOOT is the most widely implemented system. It comes from the UK with over 200 installations worldwide including the US. Average delay reductions of 20 percent have been shown in urban networks that employ adaptive signal control systems. However, these benefits vary between cities. Until now, no commercially available adaptive signal control system could be modeled across a city-specific network prior to installation. the University of Utah has developed a simulation modeling connection between the Federal Highway's CORSIM model and the SCOOT adaptive control system. SCOOT runs on the VMS operating system, CORSIM on Windows NT. the two are connected via Ethernet with a dynamic link library interface that extracts the signal state and detector information from CORSIM and converts it to a format that SCOOT understands. SCOOT processes the information and sends it back across the Ethernet. In a completed loop, the optimized signal timing is then communicated from SCOOT to CORSIM, which implements the timing and updates the traffic simulation. this work offers traffic engineers the opportunity to evaluate the impact of SCOOT in a simulated environment prior to installation of the system. this paper reports the findings of the simulation of an actual urban network.

关键词： Highway traffic control

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A three-layer model for workflow semantic recovery in an object-oriented environment 20th

引用

20th International conference on Conceptual modeling, ER 2001

作者： Chiu, Dickson K. W. Dickson Computer Systems 7A Victory Avenue 4th floor HomantinKowloon Hong Kong

ISBN: (纸本)3540428666

there have been numerous attempts to provide semantic recovery workflow support in order to maintain atomicity and consistency. However, they concentrate on compensation activities for individual tasks. this paper propose a three-layer model to provide comprehensive recovery support in an advanced object-oriented workflow environment, which take cares many other properties and aspects of a workflow management system (WFMS). At the workflow layer, the workflow composition hierarchy, workflow semantics and workflow commitment determines recovery requirement and data objects affected. At the data object layer, object class properties, data dependencies determines data recovery requirement. At the recovery primitive layer, users can define different types of reusable primitives to address the above recovery requirements. Based on this model with respect to ADOME-WFMS, this paper illustrates how the problem of workflow recovery can be adequately addressed, especially from an exception-handling viewpoint. In particular, a novel webbased support for cooperative workflow semantic recovery is highlighted. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Semantics

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On the development of an optimal parametric fuzzy controller by genetic algorithms

On the development of an optimal parametric fuzzy controller...

引用

conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： Chih-Hsun Chou Department of Computer Science and Information Engineering Chung-Hua University Hsinchu Taiwan

ISBN: (纸本)0780370783

One way for a systematic approach to fuzzy controller design is by applying genetic algorithms (GAs). GAs, however, are much more applicable to numerical-type optimization problems. A traditional fuzzy controller contains both linguistic-type rules and numeric-type reasoning. Hence, transforming a fuzzy controller design into a GA-applicable optimization problem becomes the first subject in the design approach. So, in this paper, we present an index function to represent the linguistic control rules in terms of numeric indices. In this way, a GA design approach becomes feasible. the index function has a tunable parameter which is adaptive to the controlled system and is novel to the fuzzy rule in a TSK (Tagaki-Sugeno-Kang) type fuzzy controller. Simulation results with a second-order damping system are presented to show the performance of the proposed fuzzy controller.

关键词： Fuzzy control Optimal control Fuzzy systems Control systems Algorithm design and analysis Genetic algorithms Fuzzy reasoning Design optimization Programmable control Adaptive control

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A generic algorithm for fuzzy constraint satisfaction problems

A generic algorithm for fuzzy constraint satisfaction proble...

引用

conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： Pei-Lun Hsu R. Lai Department of Computer Engineering & Science Yuan-Ze University Chungli Taiwan

In this paper, we present a generic algorithm of solving a fuzzy constraint satisfaction problem (CSP) based on the notion of an adaptive level cut: the essence of our algorithm is to apply local propagation for solving different level-cut CSPs. the task mainly involves repair operations to speed up the fuzzified local propagation by reusing as much of the computational effort from the previous level-cut as possible. Besides dealing with constraints in a discrete domain, the algorithm can also be extended to handle constraints in a continuous domain, based on the idea of interval-based reasoning.

关键词： Problem-solving Arithmetic Fuzzy sets Inference algorithms Computational modeling Search methods optimization methods Councils Scalability Robustness

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Fuzzy modeling based on L/sub 2/ gain criterion

Fuzzy modeling based on L/sub 2/ gain criterion

引用

conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： T. Hori T. Taniguti Department of Mechanical Engineering and Intelligent Systems University of Electro-Communications Chofu Tokyo Japan

this paper presents a robust fuzzy modeling based on L/sub 2/ gain criterion. the most important thing is that fuzzy modeling executes using LMI conditions. We derive an LMI condition to identify the parameters of a Takagi-Sugeno fuzzy model (T-S fuzzy model). the LMI guarantees to minimize the summation of the upper bound of the identification error (SUE) between outputs of a real plant and those of a T-S fuzzy model. More importantly, we derive L/sub 2/ gain based fuzzy modeling conditions. It achieves robust parameter identification for the data contaminated by noise. An example shows the utility of the proposed iterative LMI approach to L/sub 2/ gain based fuzzy modeling.

关键词： Robustness Fuzzy systems Bismuth Fuzzy control Nonlinear equations Nonlinear dynamical systems Nonlinear control systems Nonlinear systems Control system synthesis Parameter estimation

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Current approaches to extending fuzzy logic to object-oriented modeling

Current approaches to extending fuzzy logic to object-orient...

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conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： J. Lee Jong-Yih Kuo Nien-Lin Xue Department of Computer Science and Information Engineering National Central University Chungli Taiwan Department of Computer Science and Information Engineering FuJen Catholic University Taipei Taiwan Department of Information Managemen Shu Te University Kaohsiung Taiwan

the authors attempt a survey of current approaches carried out in the confluence of the two technologies: fuzzy set theory and object-oriented technology, that could provide a powerful tool for enhancing database management systems, software modeling, and knowledge representation in AI systems. Possible types of fuzziness are discussed and key features related to different kinds of fuzzy software systems are also pinpointed out. In a nutshell, fuzzy theory, as a modeling mechanism, is especially useful in tackling real world applications whose complexity demands are growing intensively.

关键词： Fuzzy logic Software systems Object oriented modeling Power system modeling Fuzzy set theory Database systems Software tools Knowledge representation Artificial intelligence Fuzzy systems

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Robust control configured design method for systems with multiobjective specifications

Robust control configured design method for systems with mul...

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conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： S. Yoshizawa T. Kawabe S. Miyamoto University of Tsukuba Tsukuba Japan Ifa ETH-Zentrun Zurich Switzerland

We propose a new design method for robust control configured systems with multiple design specifications. Since this design problem is formulated as the multiobjective minimax optimization problem, we use the genetic algorithm (GA) based technique to obtain the optimal solution. this design method is based on the input deviation, the minimax design approach and Pareto-partitioning GA. We apply this design method for designing a 4 wheeled steering car system. Some design examples are included to show the applicability and effectiveness of the proposed method.

关键词： Robust control Design methodology Minimax techniques Robust stability Algorithm design and analysis Design optimization Genetic algorithms Control systems Control design systems engineering and theory

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Hybrid agent-based simulation for analyzing the National Airspace system

Hybrid agent-based simulation for analyzing the National Air...

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conference on Digital Avionics systems (DASC)

作者： Seungman Lee A. Pritchett D. Goldsman School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta GA USA

Hybrid agent-based simulation is required to provide a mechanism for analyzing large-scale complex systems, such as the National Airspace system (NAS), more accurately and completely. the dynamic behavior of many large-scale complex systems is, in general, hybrid in nature and thus can be best described by a combination of discrete-event and continuous-time models, and their interactions. Correspondingly, hybrid agent-based simulation capable of incorporating different types of models, such as continuous-time and discrete-event models, provides an accurate means of evaluating the reliability and performance of large, complex systems. However, in order to serve as a valuable design and analysis tool, a number of important issues must be addressed. this paper outlines issues in the development of hybrid agent-based simulation architectures capable of providing a scaleable mechanism for simulating the NAS. In particular, an object-oriented approach to hybrid agent-based simulation is described. In addition, methods of improving computational efficiency of updating the simulation are described and compared.

关键词： Analytical models Computational modeling Predictive models Large-scale systems Discrete event simulation Aircraft navigation Computer architecture Aerospace control Communication system control Control systems

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Assessing the predictive accuracy of complex simulation models

Assessing the predictive accuracy of complex simulation mode...

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conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： T. Ross V. Kreinovich C. Joslyn Center for Autonomous Control Engineering University of New Mexico Albuquerque NM USA Department of Computer Science University of Texas at El Paso El Paso TX D-Division Los Alamos National Labs Los Alamos NM USA

Predictive accuracy is the sum of two kinds of uncertainty-natural variability and modeling uncertainty. this paper addresses the quantification of predictive accuracy of complex simulation models from two perspectives. First, it recognizes that there is a difference between variability and modeling uncertainty; the former can not be reduced with more test information, while the latter can. We suggest that variability is a natural form of uncertainty that can be quantified with probability theory, but that modeling uncertainty is a form that is better addressed by a theoretical foundation that is not based on random variables, but rather random intervals. We suggest possibility theory as the formalism to address modeling uncertainty. the paper discusses the two different methods, and illustrates the power of their integration to address predictive accuracy with a recent case study involving the crushing load of axially loaded metallic spheres.

关键词： Predictive models Accuracy Uncertainty Computational modeling Possibility theory Computer simulation Computer science Testing Random variables Power system modeling

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Evolutionary control method and swing up and stabilization control of inverted pendulum

Evolutionary control method and swing up and stabilization c...

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conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： S. Yasunobu H. Yamasaki Institute of Engineering Mechanics and Systems University of Tsukuba Tsukuba Japan Master's program in Science and Engineering University of Tsukuba Tsukuba Japan

the control of a nonlinear system where the characteristics are changing is difficult. In order to control the system, a study is needed to model during the execution and control. In this paper, a new evolutionary control method is proposed that combines the evolutionary modeling by on-line GA and predictive fuzzy control. this control method is applied to the control of inverted pendulum where characteristics are modified actively to the external factor. the effectiveness of this control method has been confirmed.

关键词： Control systems Humans Fuzzy control Nonlinear control systems Nonlinear systems Predictive models Fuzzy sets Control system synthesis Fuzzy systems systems engineering and theory

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