Deep Reinforcement Learning-Based Traffic Signal Control Using High-Resolution Event-Based Data

Deep Reinforcement Learning-Based Traffic Signal Control Using High-Resolution Event-Based Data

Reinforcement learning (RL)-based traffic signal control has been proven to have great potential in alleviating traffic congestion. The state definition, which is a key element in RL-based traffic signal control, plays a vital role. However, the data used for state definition in the literature are e...

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Bibliographic Details
Main Authors: Song Wang, Xu Xie, Kedi Huang, Junjie Zeng, Zimin Cai
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Entropy
Subjects:
traffic signal control
deep reinforcement learning
high-resolution data
event-based data
double dueling deep Q network
Online Access:https://www.mdpi.com/1099-4300/21/8/744

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