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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Bibliographic Details

Main Authors:	Fatemeh Bandarian, Saeedeh Ghanadbashi, Abdollah Malekjafarian, Fatemeh Golpayegani
Format:	Artigo
Language:	Inglês
Published:	Wiley 2025-01-01
Series:	IET Intelligent Transport Systems
Subjects:	autonomous driving emergency services intelligent transportation systems traffic management and control
Online Access:	https://doi.org/10.1049/itr2.70121
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