An Empirical Study on Low-cost, Portable Vehicle’s Weight Estimation Solution using Smartphone’s Acceleration Data for Developing Countries

Saima Mohan, Prashant Kumar

Abstract

One in every three trucks in developing countries are overloaded, causing damage to roads and susceptible to accidents. Conventionally, vehicle’s weight is measured at fixed weigh stations and result in high traffic congestions at toll booths. To improve highway traffic and enhance regulation, we propose a low-cost, portable sensor-based system viable for continuous real-time assessment of vehicle’s weight. A smartphone-based sensing device is installed in vehicle and weight is estimated by applying multiple linear regression model on acceleration data. In this paper, we include statistical features having relationship with target variable. A consistent model performance of vehicle’s weight estimated at all speed ranges is established; we also evaluate the improvised model under engine idling state. An increased accuracy is obtained with error of 2% in engine idling state and overall system error of 6% with vehicle in motion. A heterogenous data source (such as vehicle class, load condition, goods, sensor locations, etc.,) of vehicle operating on Indian highway segment are collected to evaluate model robustness. With exploitation of big data and advanced analytics; advent of this solution will leverage contribution in Intelligent Transport System, focused towards smart and sustainable transportation for ASEAN region.

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Paper Citation


in Harvard Style

Mohan S. and Kumar P. (2021). An Empirical Study on Low-cost, Portable Vehicle’s Weight Estimation Solution using Smartphone’s Acceleration Data for Developing Countries. In Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-513-5, pages 44-55. DOI: 10.5220/0010402600440055


in Bibtex Style

@conference{vehits21,
author={Saima Mohan and Prashant Kumar},
title={An Empirical Study on Low-cost, Portable Vehicle’s Weight Estimation Solution using Smartphone’s Acceleration Data for Developing Countries},
booktitle={Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2021},
pages={44-55},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010402600440055},
isbn={978-989-758-513-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - An Empirical Study on Low-cost, Portable Vehicle’s Weight Estimation Solution using Smartphone’s Acceleration Data for Developing Countries
SN - 978-989-758-513-5
AU - Mohan S.
AU - Kumar P.
PY - 2021
SP - 44
EP - 55
DO - 10.5220/0010402600440055