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

Ling Wang ()
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Ling Wang: Beijing Jiaotong University

A chapter in LISS 2012, 2013, pp 1217-1222 from Springer

Abstract: 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.

Keywords: Rough sets; Knowledge discovery model; Knowledge base; Traffic flow states recognition (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32054-5_172

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DOI: 10.1007/978-3-642-32054-5_172

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