Utilizing GPS Data Tracking Design for Stopped Truck Analysis in an Industrial Loading Process

Economic growth has become essential for improving people’s livelihoods, particularly as more enterprises are established. This expansion has increased the demand for transportation, where timely delivery of goods is crucial for the success of growing businesses. Consequently, vehicles have become a vital component of the logistics chain, transporting items from one location to another. However, traffic delays often hinder timely deliveries, and administrators struggle to locate trucks during unexpected stops. Additionally, some truck drivers waste time, causing unnecessary delivery delays and increasing operating costs. This study proposes a solution that integrates an RFID sensor module to address traffic congestion issues at loading bays and a GPS module with TTGO TCALL ESP 32 to track the whereabouts of trucks. This approach aims to improve operational efficiency, reduce costs and streamline the logistics process.

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Publication Details

Journal
Journal of Telecommunication Electronic and Computer Engineering (JTEC)
Published
2024-12-20
DOI
https://doi.org/10.54554/jtec.2024.16.04.003
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Utilizing GPS Data Tracking Design for Stopped Truck Analysis in an Industrial Loading Process

Khairuddin Osman, Takefumi Kanda, Norzahirah Zainuddin, Vishanthini Thangavelloo
Journal of Telecommunication Electronic and Computer Engineering (JTEC)
IoT and GPS-based Vehicle Safety Systems
article

Utilizing GPS Data Tracking Design for Stopped Truck Analysis in an Industrial Loading Process

Khairuddin Osman, Takefumi Kanda, Norzahirah Zainuddin, Vishanthini Thangavelloo
article en

Abstract

Economic growth has become essential for improving people’s livelihoods, particularly as more enterprises are established. This expansion has increased the demand for transportation, where timely delivery of goods is crucial for the success of growing businesses. Consequently, vehicles have become a vital component of the logistics chain, transporting items from one location to another. However, traffic delays often hinder timely deliveries, and administrators struggle to locate trucks during unexpected stops. Additionally, some truck drivers waste time, causing unnecessary delivery delays and increasing operating costs. This study proposes a solution that integrates an RFID sensor module to address traffic congestion issues at loading bays and a GPS module with TTGO TCALL ESP 32 to track the whereabouts of trucks. This approach aims to improve operational efficiency, reduce costs and streamline the logistics process.

Journal of Telecommunication Electronic and Computer Engineering (JTEC)Vol. 16(4)
Okayama University (JP), Technical University of Malaysia Malacca (MY), Kolej Poly-Tech MARA (MY)
Universiti Teknikal Malaysia Melaka
Decent work and economic growth
Openalex Percentile: Top 76%
IoT and GPS-based Vehicle Safety Systems
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