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

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.