Investigation the relationship between road surface temperature and weather conditions using a vehicle attached sensors

Winter roads often lead to inferior conditions to drivers. The freezing and thawing cycle leads to a decreased friction coefficient in wet or snowy weather when compared to dry roads. This leads to an increase in possibility of traffic accidents during the winter. Therefore, collecting accurate info...

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Bibliographic Details
Published inJournal of Digital Contents Society Vol. 21; no. 7; pp. 1365 - 1373
Main Authors Yang, Choongheon, Kim, Jinguk
Format Journal Article
LanguageEnglish
Published 한국디지털콘텐츠학회 31.07.2020
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ISSN1598-2009
2287-738X
DOI10.9728/dcs.2020.21.7.1365

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Summary:Winter roads often lead to inferior conditions to drivers. The freezing and thawing cycle leads to a decreased friction coefficient in wet or snowy weather when compared to dry roads. This leads to an increase in possibility of traffic accidents during the winter. Therefore, collecting accurate information on road surface temperature is crucial to provide a safe and efficient winter road environment. This study collects surface temperature, atmospheric temperature, humidity, vehicular ambient temperature, and GPS data through a thermal mapping system. The collected data is transformed into a database format that can be analyzed, and the correlation between the road surface temperatures is identified using two statistical tests. These can provide great insights of necessary parameters for forecasting the road surface temperature by statistical results. KCI Citation Count: 0
Bibliography:http://dx.doi.org/10.9728/dcs.2020.21.7.1365
ISSN:1598-2009
2287-738X
DOI:10.9728/dcs.2020.21.7.1365