Accuracy Assessment of Weigh-in-Motion Systems for Vehicle's Direct Enforcement

Gajda, Janusz; Burnos, Piotr; Sroka, Ryszard

doi:10.1109/mits.2017.2776111

Cited by 29 publications

(25 citation statements)

References 5 publications

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“…In many countries, the high-speed WIM (HS-WIM) is used to detect the overloaded vehicle on the road; the selected vehicles are then screened on a static WIM to obtain more accurate weight. The present HS-WIMs have the accuracy of 5%-15% due to various internal and external disturbing factors [6].…”

Section: Introductionmentioning

confidence: 85%

“…In general, WIM systems are used to measure the GVW and other parameters of vehicles [6]. Two main classifications of WIM solution methods are static WIM and dynamic WIM.…”

Section: Introductionmentioning

confidence: 99%

“…Low-Speed WIM. According to [6], static scales and LS-WIM devices are very accurate and are used for enforcement in many US states and several European countries. LS-WIM devices were introduced because of the drawbacks of static WIMs.…”

Section: Introductionmentioning

confidence: 99%

“…Static and LS-WIM systems require vehicles to exit the highway and wait in a queue. It is reported that this would delay between 10 and 30 minutes [6].…”

Section: Introductionmentioning

confidence: 99%

“…The multisensor WIM (MS-WIM) was introduced in [6], because of the low accuracy or correctness of HS-WIMs. The…”

Section: Introductionmentioning

confidence: 99%

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

Kirushanth

Kabaso

2020

Journal of Sensors

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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.

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Section: Introductionmentioning

confidence: 85%

“…In general, WIM systems are used to measure the GVW and other parameters of vehicles [6]. Two main classifications of WIM solution methods are static WIM and dynamic WIM.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Static and LS-WIM systems require vehicles to exit the highway and wait in a queue. It is reported that this would delay between 10 and 30 minutes [6].…”

Section: Introductionmentioning

confidence: 99%

“…The multisensor WIM (MS-WIM) was introduced in [6], because of the low accuracy or correctness of HS-WIMs. The…”

Section: Introductionmentioning

confidence: 99%

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