Traffic Signal Self-Organizing Control With Road Capacity Constraints-Reference-Cited by-同舟云学术

Traffic Signal Self-Organizing Control With Road Capacity Constraints

Published:2022-10 Issue:10 Volume:23 Page:18502-18511
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Long Guangcheng¹^ORCID,Wang Anlin¹,Jiang Tao¹

Affiliation:

1. School of Mechanical Engineering, Tongji University, Shanghai, China

Funder

Science and Research Project of the China Zhejiang Provincial Transportation Department

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9916643/09729137.pdf?arnumber=9729137

Reference22 articles.

1. Study of Self-Organizing Control of Traffic Signals in an Urban Network Based on Cellular Automata

2. A Distributed Control Method for Urban Networks Using Multi-Agent Reinforcement Learning Based on Regional Mixed Strategy Nash-Equilibrium

3. Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control

4. The Study of Reinforcement Learning for Traffic Self-Adaptive Control under Multiagent Markov Game Environment

5. Study status and prospect of traffic signal control for over-saturated intersection;li;International Journal for Traffic and Transport Engineering,2013

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