Truck Parking Occupancy Prediction: XGBoost-LSTM Model Fusion

Truck Parking Occupancy Prediction: XGBoost-LSTM Model Fusion

For haul truck drivers it is becoming increasingly difficult to find appropriate parking at the end of a shift. Proper, legal, and safe overnight parking spots are crucial for truck drivers in order for them to be able to comply with Hours of Service regulation, reduce fatigue, and improve road safe...

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Bibliographic Details
Main Authors: Sebastian Gutmann, Christoph Maget, Matthias Spangler, Klaus Bogenberger
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Future Transportation
Subjects:
truck parking
occupancy prediction
machine learning
model fusion
XGBoost
LSTM
Online Access:https://www.frontiersin.org/articles/10.3389/ffutr.2021.693708/full

Internet

https://www.frontiersin.org/articles/10.3389/ffutr.2021.693708/full

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