Deep Reinforcement-Learning-Based Adaptive Traffic Signal Control with Real-Time Queue Lengths
Author:
Affiliation:
1. University of Jinan,Shandong Provincial Key Laboratory of Network Based Intelligent Computing,Jinan,China,250022
2. Shandong Provincial Network Security and Infomationization Technology Center,Jinan,China,250002
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province
China Scholarship Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9945068/9945069/09945292.pdf?arnumber=9945292
Reference20 articles.
1. Learning-based traffic signal control algorithms with neighborhood information sharing: An application for sustainable mobility
2. Traffic signal timing via deep reinforcement learning
3. Adaptive traffic signal control with actor-critic methods in a real-world traffic network with different traffic disruption events
4. Deep deterministic policy gradient for urban traffic light control;casas;ArXiv Preprint,2017
5. Reinforcement Learning for Joint Control of Traffic Signals in a Transportation Network
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1. Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges;IEEE Open Journal of Vehicular Technology;2024
2. Improving Traffic Efficiency in a Road Network by Adopting Decentralised Multi-Agent Reinforcement Learning and Smart Navigation;Promet - Traffic&Transportation;2023-10-30
3. Traffic Signal Timing Optimization Model Based on Video Surveillance Data and Snake Optimization Algorithm;Sensors;2023-05-28
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