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Dynamic driver behavior modeling with GMM for sustainable traffic signal control in deep reinforcement learning

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Year: 2026
Type: article
Source: International Journal of Sustainable Transportation
DOI: 10.1080/15568318.2026.2736569
Authors: Xinyuan Li, Minghui Ma, Shidong Liang, Jufen Yang, Kuo Yu
Institutions: Shanghai University of Engineering Science, University of Shanghai for Science and Technology, First Automotive Works (China)
Language: English

Topic: Traffic control and management
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

Funder: National Natural Science Foundation of China
Award: G1891382037
OpenAlex ID: W7214422019
FWCI:
Cites: 49
Cited by:
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