An inductive heterogeneous graph attention-based multi-agent deep graph infomax algorithm for adaptive traffic signal control

•An algorithm based on heterogeneous GNNs is proposed for feature fusion.•A mutual-information loss function is proposed for training.•Based on above methods, an IHA-MDGI algorithm is proposed for traffic signal control.•Experiments show the IHA-MDGI algorithm outperforms the state-of-the-art algori...

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Veröffentlicht in:	Information fusion Jg. 88; S. 249 - 262
Hauptverfasser:	Yang, Shantian, Yang, Bo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2022
Schlagworte:	Adaptive traffic signal control Attention mechanism Heterogeneous feature fusion Multi-agent reinforcement learning Mutual information Multi-agent reinforcement learning Adaptive traffic signal control Attention mechanism Heterogeneous feature fusion Mutual information
ISSN:	1566-2535, 1872-6305
Online-Zugang:	Volltext
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