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《Journal of Changzhou Institute of Technology》 2006-02
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A Fuzzy Pattern Recognition-based Approach to Automatic Freeway Incident Detection

JIAO Jun-cai~(1,2) TANG Jian ~2(1.Department of Mathematics,Southeast University,Nanjing 210018;2.Department of Mathematics,Nanjing University of Technology,Nanjing 210009)  
Incidents occurred in the freeways can be detected automatically by way of fuzzy pattern recognition.According to traffic flux,rate,occupancy,various subjection function of state of traffic flow was constituted and so was the subjection function related to incidents and non-incidents in light of the increment of three variables.According to the principles of maximum degree of subjection,the traffic state was recognized and incident was detected.Based on the above-mentioned principle of maximum degree of subjection together with off-line comments on calculation,it shows that fuzzy pattern recognition is superior to the regular way of traffic accidents automatic detection,therefore providing a more scientific and effective way.
【CateGory Index】: U491
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