Design and Development of Weigh-In-Motion Using Vehicular Telematics

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dc.contributor.author Kirushanth, S.
dc.contributor.author Kabaso, B.
dc.date.accessioned 2026-09-21T09:48:40Z
dc.date.available 2026-09-21T09:48:40Z
dc.date.issued 2020
dc.identifier.citation Kirushanth, Sivaramalingam, Kabaso, Boniface, Design and Development of Weigh-In-Motion Using Vehicular Telematics, Journal of Sensors, 2020, 7871215, 22 pages, 2020. https://doi.org/10.1155/2020/7871215 en_US
dc.identifier.uri http://drr.vau.ac.lk/handle/123456789/2237
dc.description.abstract Identifying overloaded vehicles on a highway is essential for the safety of vehicles on the road as well as for the performance monitoring of highway infrastructure and planning. Traffic enforcement uses various weigh-in-motion (WIM) methods. Since Vehicular Telematics (VT) is favoured in the transport industry, using it for building a new WIM system to infer the payload of a vehicle at any road segment would be beneficial for the transport industry. This paper presents the effort taken to use VT data from onboard diagnostics modules and smartphones to infer the payload of a vehicle. The experiment done to find the correlation between VT data and the payload of a vehicle is discussed. Feature engineering was done; nine different settings were tested to find the best regression model. A multiple nonlinear regression model produced significant a p value of 6.322e-08 and an R-squared value of 0.8736. Results support the notion of using the VT data for nonintrusive measurement of the weight of a vehicle in motion. en_US
dc.language.iso en en_US
dc.publisher Hindawi en_US
dc.source.uri https://onlinelibrary.wiley.com/doi/full/10.1155/2020/7871215 en_US
dc.subject Weigh-in-motion en_US
dc.subject Vehicular Telematics en_US
dc.subject Machine Learning en_US
dc.title Design and Development of Weigh-In-Motion Using Vehicular Telematics en_US
dc.type Journal article en_US
dc.identifier.doi https://doi.org/10.1155/2020/7871215 en_US
dc.identifier.journal Journal of Sensors en_US
dc.sdg Industry, innovation and infrastructure en_US


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