Environmental Adaptive Urban Traffic Signal Control Based on Reinforcement Learning Algorithm

Urban traffic signal control is an important part of the construction of intelligent regional traffic. Aiming at the problem of the optimal control strategy in urban traffic signals, this paper proposes environmental adaptive urban traffic signal control based on reinforcement learning algorithms. T...

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Bibliographic Details
Published in:Journal of physics. Conference series Vol. 1650; no. 3; pp. 32097 - 32102
Main Authors: Feng, Yanming, Wu, Yongrong
Format: Journal Article
Language:English
Published: Bristol IOP Publishing 01.10.2020
Subjects:
Adaptive control
Algorithms
Deep learning
environment adaptive
Machine learning
Optimal control
Optimization
Physics
Queues
reinforcement learning
Traffic control
Traffic engineering
Traffic flow
Traffic signal control
Traffic signals
Traffic speed
ISSN:1742-6588, 1742-6596
Online Access:Get full text
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