مشاهده مشخصات مقاله
A Distributed approach for Coordination Between Traffic Lights Based on NN_Qlearning
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Authors |
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Shahab Aldin Shamshirband
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Conference |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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Abstract |
The single traffic signal control agent improves its control ability with the NNQ-learning method.
This paper proposes a Neural_Network_Q_learning (NNQL) approach with fuzzy reward
designed for online learning of traffic lights behaviors .The Q-function table becomes too large
for the required state/action resolution. In these cases, tabular Q-learning needs a very long
learning time and memory requirements which makes the implementation of the algorithm in
real-time control architecture impractical. To solve the problem of coordination between three
TSCAs (Traffic Signal Control Agents) we used game theory. To test the efficiency of the
coordination mechanism, a prototype traffic simulator was programmed in visual C++. Results
using cooperative traffic agents are compared to results of control simulations where noncooperative
agents were deployed. The result indicates that the new coordination method
proposed in this paper is effective. |
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قیمت |
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برای اعضای سایت : 100,000 Rial
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برای دانشجویان عضو انجمن : 20,000 Rial
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برای اعضای عادی انجمن : 40,000 Rial
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خرید مقاله
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