Dynamic programming—neural network real-time traffic adaptive signal control algorithm

Dušan Teodorović (), Vijay Varadarajan, Jovan Popović, Mohan Chinnaswamy and Sharath Ramaraj

Annals of Operations Research, 2006, vol. 143, issue 1, 123-131

Abstract: In this paper, an “intelligent” isolated intersection control system was developed. The developed “intelligent” system makes “real time” decisions as to whether to extend (and how much) current green time. The model developed is based on the combination of the dynamic programming and neural networks. Many tests show that the outcome (the extension of the green time) of the proposed neural network is nearly equal to the best solution. Practically negligible CPU times were achieved, and were thus absolutely acceptable for the “real time” application of the developed algorithm. Copyright Springer Science + Business Media, Inc. 2006

Keywords: Real time traffic adaptive control; Neural networks; Dynamic programming (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10479-006-7376-z

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