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Bo Chen

Bio: Bo Chen is an academic researcher from Michigan Technological University. The author has contributed to research in topics: Electric vehicle & Powertrain. The author has an hindex of 16, co-authored 92 publications receiving 1660 citations. Previous affiliations of Bo Chen include University of California & University of California, Davis.


Papers
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Journal ArticleDOI
TL;DR: This paper examines an agent- based approach and its applications in different modes of transportation, including roadway, railway, and air transportation, and addresses some critical issues in developing agent-based traffic control and management systems, such as interoperability, flexibility, and extendibility.
Abstract: The agent computing paradigm is rapidly emerging as one of the powerful technologies for the development of large-scale distributed systems to deal with the uncertainty in a dynamic environment. The domain of traffic and transportation systems is well suited for an agent-based approach because transportation systems are usually geographically distributed in dynamic changing environments. Our literature survey shows that the techniques and methods resulting from the field of agent and multiagent systems have been applied to many aspects of traffic and transportation systems, including modeling and simulation, dynamic routing and congestion management, and intelligent traffic control. This paper examines an agent-based approach and its applications in different modes of transportation, including roadway, railway, and air transportation. This paper also addresses some critical issues in developing agent-based traffic control and management systems, such as interoperability, flexibility, and extendibility. Finally, several future research directions toward the successful deployment of agent technology in traffic and transportation systems are discussed.

590 citations

Journal ArticleDOI
TL;DR: This paper has developed an IEEE FIPA compliant mobile agent system called Mobile-C and designed an agent-based real-time traffic detection and management system (ABRTTDMS), which takes advantages of both stationary agents and mobile agents.
Abstract: Agent technology is rapidly emerging as a powerful computing paradigm to cope with the complexity in dynamic distributed systems, such as traffic control and management systems. However, while a number of agent-based traffic control and management systems have been proposed and the multi-agent systems have been studied, to the best of our knowledge, the mobile agent technology has not been applied to this field. In this paper, we propose to integrate mobile agent technology with multi-agent systems to enhance the ability of the traffic management systems to deal with the uncertainty in a dynamic environment. In particular, we have developed an IEEE FIPA compliant mobile agent system called Mobile-C and designed an agent-based real-time traffic detection and management system (ABRTTDMS). The system based on Mobile-C takes advantages of both stationary agents and mobile agents. The use of mobile agents allows ABRTTDMS dynamically deploying new control algorithms and operations to respond unforeseen events and conditions. Mobility also reduces incident response time and data transmission over the network. The simulation of using mobile agents for dynamic algorithm and operation deployment demonstrates that mobile agent approach offers great flexibility in managing dynamics in complex systems.

157 citations

Journal IssueDOI
TL;DR: This article presents the design, implementation and application of Mobile-C, an IEEE Foundation for Intelligent Physical Agents (FIPA) compliant agent platform for mobile CsC++ agents, which conforms to the FIPA standards both at agent and platform level.
Abstract: This article presents the design, implementation and application of Mobile-C, an IEEE Foundation for Intelligent Physical Agents (FIPA) compliant agent platform for mobile CsC++ agents. IEEE FIPA standards are a set of specifications designed to ensure the interoperation between agents in a heterogeneous network. Mobile-C conforms to the FIPA standards both at agent and platform level. Mobile-C extends FIPA standards to support mobile agents by integrating an embeddable CsC++ interpreter—Ch—into the platform as a mobile agent execution engine and defining a mobile agent mobility protocol to direct agent migration process. Agent migration in Mobile-C is achieved through FIPA agent communication language (ACL) messages encoded in XML. Using FIPA ACL messages for agent migration provides a straightforward but effective way for inter-platform agent migration in FIPA compliant agent systems as both agent communication and migration can share the same communication mechanism. Choosing scriptable CsC++ as a mobile agent language allows mobile agents easy interfacing with low-level software modules and underlying hardware. Mobile-C has been used to simulate highway traffic detection and management. The agent-based traffic detection and management system uses agent technology for real-time distributed traffic information fusion. Mobile agents in the system are used for dynamic code deployment and performing unanticipated actions. The application of agent technology shows a great potential for enhancing the interoperability, flexibility and distributed computing capabilities of intelligent transportation systems. Copyright © 2006 John Wiley & Sons, Ltd.

99 citations

Journal ArticleDOI
TL;DR: An integrated wireless sensor network consisting of a mobile agent‐based network middleware and distributed high computational power sensor nodes is developed and has been validated for structural damage diagnosis using a scaled steel bridge.
Abstract: Wireless structural health monitoring research has drawn great attention in recent years from various research groups. While sensor network approach is a feasible solution for structural health monitoring, the design of wireless sensor networks presents a number of challenges, such as adaptability and the limited communication bandwidth. To address these challenges, this paper explores the mobile agent approach to enhance the flexibility and reduce raw data transmission in wireless structural health monitoring sensor networks. An integrated wireless sensor network consisting of a mobile agent-based network middleware and distributed high computational power sensor nodes is developed. These embedded computer-based high computational power sensor nodes include Linux operating system, integrated with open source numerical libraries, and connected to multimodality sensors to support both active and passive sensing. The mobile agent middleware is built on a mobile agent system called Mobile-C. The mobile agent middleware allows a sensor network moving computational programs to the data source. With mobile agent middleware, a sensor network is able to adopt newly developed diagnosis algorithms and make adjustment in response to operational or task changes. The presented mobile agent approach has been validated for structural damage diagnosis using a scaled steel bridge.

73 citations

Journal ArticleDOI
TL;DR: An Artificial Immune Pattern Recognition (AIPR) approach for the damage classification in structures and validation results show that the AIPR-based pattern recognition is suitable for structure damage classification.

55 citations


Cited by
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Journal Article
TL;DR: This book by a teacher of statistics (as well as a consultant for "experimenters") is a comprehensive study of the philosophical background for the statistical design of experiment.
Abstract: THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

13,333 citations

Book
16 Nov 1998

766 citations

Journal ArticleDOI
TL;DR: The developments and applications described here clearly indicate that PtMS is effective for use in networked complex traffic systems and is closely related to emerging technologies in cloud computing, social computing, and cyberphysical-social systems.
Abstract: Parallel control and management have been proposed as a new mechanism for conducting operations of complex systems, especially those that involved complexity issues of both engineering and social dimensions, such as transportation systems. This paper presents an overview of the background, concepts, basic methods, major issues, and current applications of Parallel transportation Management Systems (PtMS). In essence, parallel control and management is a data-driven approach for modeling, analysis, and decision-making that considers both the engineering and social complexity in its processes. The developments and applications described here clearly indicate that PtMS is effective for use in networked complex traffic systems and is closely related to emerging technologies in cloud computing, social computing, and cyberphysical-social systems. A description of PtMS system architectures, processes, and components, including OTSt, Dyna CAS, aDAPTS, iTOP, and TransWorld is presented and discussed. Finally, the experiments and examples of real-world applications are illustrated and analyzed.

760 citations

Journal ArticleDOI
TL;DR: This paper examines an agent- based approach and its applications in different modes of transportation, including roadway, railway, and air transportation, and addresses some critical issues in developing agent-based traffic control and management systems, such as interoperability, flexibility, and extendibility.
Abstract: The agent computing paradigm is rapidly emerging as one of the powerful technologies for the development of large-scale distributed systems to deal with the uncertainty in a dynamic environment. The domain of traffic and transportation systems is well suited for an agent-based approach because transportation systems are usually geographically distributed in dynamic changing environments. Our literature survey shows that the techniques and methods resulting from the field of agent and multiagent systems have been applied to many aspects of traffic and transportation systems, including modeling and simulation, dynamic routing and congestion management, and intelligent traffic control. This paper examines an agent-based approach and its applications in different modes of transportation, including roadway, railway, and air transportation. This paper also addresses some critical issues in developing agent-based traffic control and management systems, such as interoperability, flexibility, and extendibility. Finally, several future research directions toward the successful deployment of agent technology in traffic and transportation systems are discussed.

590 citations

Journal ArticleDOI
TL;DR: In this paper, the authors provided deep insights into the processes occurring during knocking combustion in spark ignition engines, and future research directions, such as turbulence-shock-reaction interaction theory, detonation suppression and utilization, and super-knock solutions, are also discussed, including use of exhaust gas recirculation (EGR), injection strategy, and the integration of a high tumble - high EGR-Atkinson/Miller cycle.

468 citations