Planning maintenance and rehabilitation activities for airport pavements: A combined supervised machine learning and reinforcement learning approach

Maintenance and Rehabilitation (M&R) of airport pavement assets involves considerable financial resources. As such, even modest improvement in M&R activity planning could lead to non-trivial savings. The state-of-the-practice for planning M&R activities mostly relies on condition thresholds and engi...

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Bibliografische Detailangaben

Hauptverfasser:	Limon Barua, Bo Zou
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	KeAi Communications Co., Ltd. 2022-06-01
Schriftenreihe:	International Journal of Transportation Science and Technology
Schlagworte:	airport pavement M&R activity planning Pavement condition prediction Gradient boosting machine Reinforcement learning Q-learning
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2046043021000472
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