The Traffic Signal Control System Applying Fuzzy Reasoning


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 4, pp. 977-987, Apr. 1999
10.3745/KIPSTE.1999.6.4.977,   PDF Download:

Abstract

The current traffic signal control systems are operated depending on the pre-planned control scheme or the selected control scheme according to a period of time. The problem with these types of traffic control systems is that they can not cope with variant traffic flows appropriately. Such a problem can be difficult to solve by using binary logic. Therefore, in this paper, we propose a traffic signal control system which can deal with various traffic flow quickly and effectively. The proposed controller is operated under uncertainty and in a fuzzy environment. It shows the congestion of road traffic by using fuzzy logic, and it determines the length of green signal by means of a fuzzy inference engine. It modeled using petri-net to verify its validation.


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Cite this article
[IEEE Style]
K. M. Kyoung and L. Y. Bae, "The Traffic Signal Control System Applying Fuzzy Reasoning," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 4, pp. 977-987, 1999. DOI: 10.3745/KIPSTE.1999.6.4.977.

[ACM Style]
Kim Mi Kyoung and Lee Yun Bae. 1999. The Traffic Signal Control System Applying Fuzzy Reasoning. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 4, (1999), 977-987. DOI: 10.3745/KIPSTE.1999.6.4.977.