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

doi:10.1007/s10479-006-7376-z

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

2006-03-01

24

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AI

DOI：10.1007/s10479-006-7376-z

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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.

Keyword:

real time traffic adaptive control

neural networks

dynamic programming

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

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