Research on the Algorithm of Automatic Urban Traffic Congestion Identification

Ku Bo; Sun Ping; Ke Yun

doi:10.4028/www.scientific.net/AMR.926-930.3204

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Research on the Algorithm of Automatic Urban...

Research on the Algorithm of Automatic Urban Traffic Congestion Identification

Abstract:

A method of traffic congestion identification based on traffic assignment model and SA-PC method is presented through analysis of municipal traffic congestion characteristic. Whether traffic congestion occurs or not is considered as a special classification problem. If the branch road of city is not affected by the signal light, the traffic situation is divided into tow parts: congestion and unimpeded. Using data associated with the traffic parameter for congestion and non congestion, an incremental SA-PC method is trained to detect whether traffic congestion occur or not. Experimental results based on microcosmic traffic simulation indicate that this method is not only feasible but also effective.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

3204-3207

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.3204

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Online since:

May 2014

Authors:

Ku Bo*, Sun Ping, Ke Yun

Keywords:

Automatic Urban Traffic Congestion Identification, Identification Algorithm, Incremental Learning

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