Design of Reinforcement Learning Parameters for Seamless Application of Adaptive Traffic Signal Control-Reference-Cited by-同舟云学术

Design of Reinforcement Learning Parameters for Seamless Application of Adaptive Traffic Signal Control

Published:2014-05-23 Issue:3 Volume:18 Page:227-245
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

El-Tantawy Samah¹²,Abdulhai Baher¹,Abdelgawad Hossam¹³

Affiliation:

1. Civil Engineering Department, University of Toronto, Toronto, Ontario, Canada

2. Engineering Mathematics Department, Cairo University, Giza, Egypt

3. Department of Civil Engineering, Faculty of Engineering, Cairo University, Giza, Egypt

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2013.810991

Reference30 articles.

1. Reinforcement learning: Introduction to theory and potential for transport applications

2. Reinforcement Learning for True Adaptive Traffic Signal Control

3. Reinforcement learning-based multi-agent system for network traffic signal control

4. Urban traffic signal control using reinforcement learning agents

5. Opportunities for multiagent systems and multiagent reinforcement learning in traffic control

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