Human‐centric multimodal deep (HMD) traffic signal control

Abstract Reinforcement learning (RL)‐based models have been widely studied for traffic signal control with objectives, such as minimizing vehicle delay and queue length, maximizing vehicle throughput, and improving road safety, through tailored reward designs. Despite the advancements in RL‐based si...

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Bibliographic Details
Main Authors: Leizhen Wang, Zhenliang Ma, Changyin Dong, Hao Wang
Format: Article
Language:English
Published: Wiley 2023-04-01
Series:IET Intelligent Transport Systems
Subjects:
Online Access:https://doi.org/10.1049/itr2.12300

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