IEEE - Institute of Electrical and Electronics Engineers, Inc. - Traffic Signal Control Based on Reinforcement Learning with Graph Convolutional Neural Nets

2018 IEEE International Conference on Intelligent Transportation Systems (ITSC)

Author(s): Tomoki Nishi ; Keisuke Otaki ; Keiichiro Hayakawa ; Takayoshi Yoshimura
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 November 2018
Conference Location: Maui, HI, USA, USA
Conference Date: 4 November 2018
Page(s): 877 - 883
ISBN (Electronic): 978-1-7281-0323-5
ISBN (USB): 978-1-7281-0322-8
ISBN (Paper): 978-1-7281-0321-1
ISSN (Electronic): 2153-0017
DOI: 10.1109/ITSC.2018.8569301
Regular:

Traffic signal control can mitigate traffic congestion and reduce travel time. A model-free reinforcement learning (RL) approach is a powerful framework for learning a responsive traffic control... View More

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