Efficient Merging at Work Zones to Support Emergency Response in Mixed Traffic Environments: A Reward Weight Adjustment Method for Multi‐Agent Reinforcement Learning

ABSTRACT Merging behaviours in work zones pose significant traffic management challenges due to lane closures that create bottlenecks and increase accident risk. In mixed traffic environments involving emergency vehicles (EVs), connected automated vehicles (CAVs), and human‐driven vehicles, addressi...

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Главные авторы:	Fatemeh Bandarian, Saeedeh Ghanadbashi, Abdollah Malekjafarian, Fatemeh Golpayegani
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Wiley 2025-01-01
Серии:	IET Intelligent Transport Systems
Предметы:	autonomous driving emergency services intelligent transportation systems traffic management and control
Online-ссылка:	https://doi.org/10.1049/itr2.70121
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