HumanLight: Incentivizing ridesharing via human-centric deep reinforcement learning in traffic signal control

Single occupancy vehicles are the most attractive transportation alternative for many commuters, leading to increased traffic congestion and air pollution. Advancements in information technologies create opportunities for smart solutions that incentivize ridesharing and mode shift to higher occupanc...

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Veröffentlicht in:	Transportation research. Part C, Emerging technologies Jg. 162; S. 104593
Hauptverfasser:	Vlachogiannis, Dimitris M., Wei, Hua, Moura, Scott, Macfarlane, Jane
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.05.2024 Elsevier
Schlagworte:	Decentralized adaptive control Deep reinforcement learning Multimodal traffic environment Person-based traffic signal control Ridesharing Decentralized adaptive control Deep reinforcement learning Multimodal traffic environment Ridesharing Person-based traffic signal control
ISSN:	0968-090X, 1879-2359
Online-Zugang:	Volltext
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