Employment of instrumented vehicles to identify real-time snowy weather conditions on freeways using supervised machine learning techniques – A naturalistic driving study

Employment of instrumented vehicles to identify real-time snowy weather conditions on freeways using supervised machine learning techniques – A naturalistic driving study

This study introduces the idea of using vehicles as weather sensors to identify real-time weather on freeways in the same context as Road Weather Information System (RWIS) but in a continuous, trajectory-level, and for road segments allocated in the vehicles paths. The study developed a novel approa...

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Bibliographic Details
Main Authors: Elhashemi M. Ali, Mohamed M. Ahmed
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:IATSS Research
Subjects:
Snowy weather
Unsupervised machine learning
Sensors data
CANbus data
Weather estimation
Online Access:http://www.sciencedirect.com/science/article/pii/S0386111222000486

Internet

http://www.sciencedirect.com/science/article/pii/S0386111222000486

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