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Design of A Web and Internet of Things-Based Logistics Fleet Tracking Application.

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Bibliographic Details
Title: Design of A Web and Internet of Things-Based Logistics Fleet Tracking Application.
Authors: Hiya, Gerrant Enriqo, Tony, Sitorus, Manatap Dolok Lauro
Source: Internet of Things & Artificial Intelligence Journal (IOTA); Nov2025, Vol. 5 Issue 4, p926-939, 14p
Subject Terms: INTERNET of things, TRANSPORTATION management, LOGISTICS managers, WEB-based user interfaces, REAL-time computing, AGILE software development, GPS receivers, USER-centered system design
Abstract: This research aims to develop a real-time logistics fleet tracking system based on the Internet of Things (IoT) and a web platform to improve fleet visibility, delivery accuracy, and operational efficiency in small and medium logistics businesses. Many logistics companies still rely on manual or semi-digital tracking, resulting in delays, inaccurate position information, and low customer transparency. To address this issue, this study integrates the ESP32 microcontroller with the GY-NEO6MV2 GPS module to collect and transmit real-time location data to a cloud server. A responsive web application was designed using the CodeIgniter 3 framework to visualise fleet movement, manage cargo data, and calculate delivery costs based on actual route distance. The development process follows the Agile--Scrum methodology with iterative sprints, daily evaluations, and continuous refinement. UML modelling is used to describe system workflows through use-case, activity, sequence, and class diagrams. Real-time GPS performance is also analysed using Quality of Service (QoS) metrics, including latency, update interval stability, and coordinate accuracy. System testing shows an average GPS latency of 180--220 ms, accuracy deviation of ±3--5 meters in open areas, and consistent update intervals of 5 seconds. System Usability Scale (SUS) testing produced a score of 78.3 ("Good"), indicating that the system is intuitive for users. User Acceptance Testing (UAT) conducted with XYZ Cargo confirms that all features meet operational needs. Overall, the results show that the proposed IoT-enabled tracking system significantly enhances transparency, monitoring capability, and decision-making efficiency in logistics operations. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
Description
Abstract:This research aims to develop a real-time logistics fleet tracking system based on the Internet of Things (IoT) and a web platform to improve fleet visibility, delivery accuracy, and operational efficiency in small and medium logistics businesses. Many logistics companies still rely on manual or semi-digital tracking, resulting in delays, inaccurate position information, and low customer transparency. To address this issue, this study integrates the ESP32 microcontroller with the GY-NEO6MV2 GPS module to collect and transmit real-time location data to a cloud server. A responsive web application was designed using the CodeIgniter 3 framework to visualise fleet movement, manage cargo data, and calculate delivery costs based on actual route distance. The development process follows the Agile--Scrum methodology with iterative sprints, daily evaluations, and continuous refinement. UML modelling is used to describe system workflows through use-case, activity, sequence, and class diagrams. Real-time GPS performance is also analysed using Quality of Service (QoS) metrics, including latency, update interval stability, and coordinate accuracy. System testing shows an average GPS latency of 180--220 ms, accuracy deviation of ±3--5 meters in open areas, and consistent update intervals of 5 seconds. System Usability Scale (SUS) testing produced a score of 78.3 ("Good"), indicating that the system is intuitive for users. User Acceptance Testing (UAT) conducted with XYZ Cargo confirms that all features meet operational needs. Overall, the results show that the proposed IoT-enabled tracking system significantly enhances transparency, monitoring capability, and decision-making efficiency in logistics operations. [ABSTRACT FROM AUTHOR]
ISSN:27744353
DOI:10.31763/iota.v5i4.1057