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Parallel control and management for intelligent transportation systems: concepts, architectures, and applications

Published: 01 September 2010 Publication History

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, DynaCAS, aDAPTS, iTOP, and TransWorld is presented and discussed. Finally, the experiments and examples of real-world applications are illustrated and analyzed.

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Published In

cover image IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems  Volume 11, Issue 3
September 2010
249 pages

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IEEE Press

Publication History

Published: 01 September 2010
Accepted: 04 May 2010
Revised: 23 December 2008
Received: 12 February 2008

Author Tags

  1. ACP
  2. cloud computing
  3. cyberphysical–social systems (CPSS)
  4. cyberphysical-social systems (CPSS)
  5. data-driven decision making
  6. parallel control
  7. parallel management
  8. traffic control and management

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