Weigh-in-motion Using Machine Learning and Telematics

被引：0

作者：

Kirushnath, Sivaramalingam ^{[1
]}

Kabaso, Boniface ^{[1
]}

机构：

[1] Cape Peninsula Univ Technol, Dept IT, Cape Town, South Africa

来源：

2018 2ND INTERNATIONAL CONFERENCE ON TELEMATICS AND FUTURE GENERATION NETWORKS (TAFGEN) | 2018年

关键词：

Telematics; WIM; Machine Learning; ECU;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Driving overloaded vehicle causes road infrastructural damages, accidents, air pollution by excessive fuel consumption, and unusual expenses. Measuring the gross weight of a vehicle on a particular road segment without interrupting the traffic flow is a problem worth researching, and its solutions have several economic benefits. This paper proposes an alternative way of finding an overloaded vehicle in motion, by introducing a novel approach in inferring the weight of a vehicle on a road segment using Telematics data and Machine Learning.

引用

页码：115 / 120

页数：6

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