Parallel Transportation Management and Control System and Its Applications in Building Smart Cities

Advancements in complexity, complex systems, and the intelligence sciences, particularly smart city technologies, have shown great potential in aiding to ease traffic congestion. The overall approach and the main ideas in building smart transportation for smart cities, particularly ACP (artificial system, computational experiment, and parallel execution)-based parallel transportation management and control systems (PTMS), are presented. PTMS can be expanded to the new generation of intelligent transportation systems. The main components of the proposed architecture include social signal and social traffic, ITS clouds and services, agent-based traffic control, and transportation knowledge automation. Some technical details of these components are discussed. Finally, one case study is introduced, and the effectiveness is analyzed.

• Record URL:
  https://doi.org/10.1109/TITS.2015.2506156
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Authors:
  • Zhu, Fenghua
  • 0000-0003-2886-6968
  • Li, Zhenjiang
  • Chen, Songhang
  • Xiong, Gang
  • 0000-0002-4303-5559
• Publication Date: 2016-6

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 1576-1585
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 17
  • Issue Number: 6
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Algorithms; Artificial intelligence; Cloud computing; Control systems; Crowdsourcing; Intelligent transportation systems; Parallel processing; Traffic control centers
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01603704
• Record Type: Publication
• Files: TLIB, TRIS
• Created Date: Jun 28 2016 4:42PM