A Knowledge-Based Fast Recognition Method of Urban Traffic Flow States
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.
KeywordsRough sets Knowledge discovery model Knowledge base Traffic flow states recognition
This research is supported by Humanities and Social Sciences Foundation of Education Ministry of China (Grant No. 11YJC630195).