Road traffic demand estimation and traffic signal control
Author:
Affiliation:
1. Kazakh-British Technical University, Almaty, Kazakhstan
2. Satbayev University, Almaty, Kazakhstan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3330431.3330433
Reference24 articles.
1. Traffic light control in non-stationary environments based on multi agent Q-learning
2. Intelligent Traffic Light Control of Isolated Intersections Using Machine Learning Methods
3. Opportunities for multiagent systems and multiagent reinforcement learning in traffic control
4. A review on agent-based technology for traffic and transportation
5. S. P. M. Choi D. . Yeung and N. L. Zhang. 2000. An environment model for non-stationary reinforcement learning. In Advances in Neural Information Processing Systems. 307--313. S. P. M. Choi D. . Yeung and N. L. Zhang. 2000. An environment model for non-stationary reinforcement learning. In Advances in Neural Information Processing Systems. 307--313.
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1. Artificial Intelligence Applied in the Road Transport - A Scientific Literature-Based State-of-Art;Communications in Computer and Information Science;2020
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