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Identification and classification of slippery winter road conditions using commonly available vehicle variables

Identification and classification of slippery winter road conditions using commonly available vehicle variables

Samenvatting

Extreme winter weather conditions severely affect the transportation sector. Technologies such as Road Weather Information Systems provide live data on the road surface conditions to assist the road authorities in providing safe mobility. The main problem is, however, the limited number of such systems that have been deployed, resulting in fragmented informa- tion about road conditions. This paper addresses the problems associated with the limited quantity of information concerning slippery winter road conditions by presenting a proof-of-concept for a system that not only detects slippery winter road con- ditions, but also predicts the type of slippery surface (ice, snow and slush) via vehicle-based systems. The concept demon- strated in this paper makes use of commonly available variables, which are, longitudinal slip ratios, longitudinal acceleration and the ambient temperature to identify such situations. The developed system employs a Fuzzy Inference System that is not only capable of identifying slippery conditions but is also capable of classifying surfaces based on the extent of slipperiness. This provides the road authorities with several moving sensors (vehicles traveling on a particular road) compared with the few fixed sensors currently available. This could deliver a pool of information to assist the road authorities to efficiently han- dle their staff and equipment so that appropriate equipment reaches the right place at the right time.

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OrganisatieHAN University of Applied Sciences
AfdelingAcademie Engineering en Automotive
Lectoraten
Academie IT en Mediadesign
LectoraatModel-based Information Systems
HAN Automotive Research
Gepubliceerd inTransportation Research Record : Journal of the Transportation Research Board National Research Council., Vol. 2673, Uitgave: 2, Pagina's: 60-70
Jaar2019
TypeArtikel
DOI10.1177/0361198118823494
TaalOnbekend

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