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A Knowledge-Based Fast Recognition Method of Urban Traffic Flow States

In: Liss 2012

Author

Listed:
  • Ling Wang

    (Beijing Jiaotong University
    Research Center for Beijing Industrial Security and Development)

Abstract

A Fast Recognition method of urban traffic flow states based on knowledge was put forward. Rough sets theory were used to express traffic flow parameter—traffic states and their relationship, and the traffic flow states recognition knowledge base was established based on knowledge model. Supported by above traffic flow states knowledge discovery model and knowledge base, a recognition algorithm of real-time traffic flow states based on knowledge was presented. Finally, an example is presented to illustrate the effectiveness of the proposed method.

Suggested Citation

  • Ling Wang, 2013. "A Knowledge-Based Fast Recognition Method of Urban Traffic Flow States," Springer Books, in: Zhenji Zhang & Runtong Zhang & Juliang Zhang (ed.), Liss 2012, edition 127, pages 1217-1222, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-32054-5_172
    DOI: 10.1007/978-3-642-32054-5_172
    as

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