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Dynamic programming—neural network real-time traffic adaptive signal control algorithm |
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| Authors: | Dušan Teodorović Vijay Varadarajan Jovan Popović Mohan Raj Chinnaswamy Sharath Ramaraj |
| Affiliation: | (1) Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, Falls Church, VA 22043, USA;(2) Faculty of Transport and Traffic Engineering, University of Belgrade, 11000 Belgrade, Serbia and Montenegro;(3) PB Farradyne, Rockville, MD, 20852, U.S.A;(4) Faculty of Transport and Traffic Engineering, University of Belgrade, 11000 Belgrade, Serbia and Montenegro;(5) School of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK 74078, USA;(6) Computer Science Department, Virginia Polytechnic Institute and State University, Falls Church, VA 22043, USA |
| 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. |
| Keywords: | Real time traffic adaptive control Neural networks Dynamic programming |
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