Advanced Internet of Things (IoT)-Based Intelligent Heavy Transport Vehicles (HTV) Monitoring System to Enhance Passenger Safety

Zuhair A. Alqarni; Hafiz Muhammad Qasim; Turki Alsuwian; Arslan Ahmed Amin; Saad Ur Rehman; Muhammad Haris

doi:10.2174/0123520965368197250218075938

ISSN: 2352-0965
E-ISSN: 2352-0973

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oa Advanced Internet of Things (IoT)-Based Intelligent Heavy Transport Vehicles (HTV) Monitoring System to Enhance Passenger Safety
Authors: Zuhair A. Alqarni¹, Hafiz Muhammad Qasim², Turki Alsuwian³, Arslan Ahmed Amin², Saad Ur Rehman² and Muhammad Haris²
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¹ Department of Electrical Engineering, Al-Baha University, Al-Aqiq, 65779-7738, Kingdom of Saudi Arabia; ² Department of Electrical Engineering, FAST National University of Computer and Emerging Sciences, Chiniot-Faisalabad Campus, Punjab 35400, Pakistan; ³ Department of Electrical Engineering, College of Engineering, Najran University, Najran 11001, Kingdom of Saudi Arabia 20965368197
Source: Recent Advances in Electrical & Electronic Engineering, Volume 19, Issue 1, Jan 2026, E23520965368197
DOI: https://doi.org/10.2174/0123520965368197250218075938
- Received: 12 Nov 2024
- Accepted: 02 Jan 2025
- Available online: 10 Mar 2026

Abstract

Introduction

Safety and efficiency have become critical issues in the quickly changing world of high-speed bus transit. The surge in high-speed bus-related traffic events is attributed to several factors, such as reckless driving, speeding, improper overtaking, vehicle health issues, sleep deprivation, alcohol consumption, and driver distractions. This paper proposes a state-of-the-art Internet of Things (IoT) system particularly intended for tracking and enhancing the security of high-speed buses on roads as a solution to these problems.

Methods

Innovative technologies like image processing, clever algorithms for computer and embedded vision (i.e., MobileNet, Canny Edge Detection, FaceMesh Model (Mediapipe), and Raspberry Pi 4 model B 8 GB are all included in the suggested solution. The system is made up of modules for online data visualization interfaces, driver monitoring systems, vehicle health and speed monitoring, and image processing for safety.

Results

Real-time interaction, hardware implementation, model training, and web app integration are among the project's benchmarks.

Conclusion

Deliverables include creating a reliable IoT device, installing sensors for vital metrics, setting up a centralized interface for monitoring in real-time, and creating a clever algorithm that will produce alerts promptly. The project entails extensive testing and validation to guarantee dependability, accuracy, and compliance with safety and privacy requirements by providing valuable information to law enforcement authorities, improving the road safety and effectiveness of high-speed bus operations on highways.

This is an open access article published under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode

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/content/journals/raeeng/10.2174/0123520965368197250218075938

Advanced Internet of Things (IoT)-Based Intelligent Heavy Transport Vehicles (HTV) Monitoring System to Enhance Passenger Safety

Recent Advances in Electrical & Electronic Engineering 19, E23520965368197 (2026); https://doi.org/10.2174/0123520965368197250218075938

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Article Type: Research Article

Keyword(s): centralized interface; clever algorithms; head pose estimation; hough transform; lane detection; online data visualization; Real-time integration

oa Advanced Internet of Things (IoT)-Based Intelligent Heavy Transport Vehicles (HTV) Monitoring System to Enhance Passenger Safety

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