Traffic Signal Optimization Control Based on Fuzzy Logic Controller

DOI

10.2991/ammsa-18.2018.35How to use a DOI?

Keywords

adaptive dynamic programming; fuzzy logic controller; evaluation neural network; control module; optimize

Abstract

In this paper , the author designs a kind of adaptive dynamic programming to be used to optimize method of the parameters, and designs the frame structure in order to optimize traffic signal fuzzy logic controller. This paper chooses the evaluated neural networks and control module (fuzzy logic controller) iterative updating algorithm, and simulation research is done in different traffic flow conditions. The results show that, in reducing the average vehicle delay, the effect of adaptive dynamic programming optimization of fuzzy logic controller is superior to not through optimization of fuzzy logic controller.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xinlan Guo
AU  - Tao Li
PY  - 2018/05
DA  - 2018/05
TI  - Traffic Signal Optimization Control Based on Fuzzy Logic Controller
BT  - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
PB  - Atlantis Press
SP  - 172
EP  - 179
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-18.2018.35
DO  - 10.2991/ammsa-18.2018.35
ID  - Guo2018/05
ER  -