Smart vehicle monitoring and analysis system with IOT technology

In order to reduce the increasing number of road accidents in recent years, the Transport Ministry of Malaysia is keen to study the flexible road tax payment system based on the motorists’ driving behavior which can be monitored using a vehicle monitoring system. However, existing vehicle monitoring...

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Main Authors: A. Hamid, A. Hadi Fikri, Chang, Kah Weng, A. Rashid, Rozeha, Mohd. Alias, Mohd. Alias, Abdullah, M. Shahidan, Sarijari, M. Adib, Abbas, Mazlan
Format: Article
Published: International Journal of Integrated Engineering (IJIE) 2019
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Online Access:http://eprints.utm.my/id/eprint/89307/
https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/4198
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spelling my.utm.893072021-02-09T08:26:10Z http://eprints.utm.my/id/eprint/89307/ Smart vehicle monitoring and analysis system with IOT technology A. Hamid, A. Hadi Fikri Chang, Kah Weng A. Rashid, Rozeha Mohd. Alias, Mohd. Alias Abdullah, M. Shahidan Sarijari, M. Adib Abbas, Mazlan TK Electrical engineering. Electronics Nuclear engineering In order to reduce the increasing number of road accidents in recent years, the Transport Ministry of Malaysia is keen to study the flexible road tax payment system based on the motorists’ driving behavior which can be monitored using a vehicle monitoring system. However, existing vehicle monitoring systems in the market mostly rely only on Global Positioning System (GPS) to estimate the vehicle’s speed and location which results may be inaccurate once the satellite coverage is lost due to tall buildings or dense forest. Therefore, a Smart Vehicle Monitoring and Analysis System (VMAS) using Internet of Things (IoT) technology is proposed. The developed system comprises of an Android application on smartphone, an On-board Diagnostics II (OBD-II) device and a cloud database management system. OBD-II device will collect real-time data on engine parameters. The data will be automatically extracted using Bluetooth connection to the Android platform for display and to upload data to the cloud server. The cloud server is used for data storage and can be accessed remotely by authorized or administrative personnel via a monitoring webpage. It will provide complete visibility of uploaded data in real time as well as instant activities reports and history logs. The performance investigation shows that the system latency is around 1 second. The data analysis includes driving attributes ranking and fuel efficiency rating which is foreseen to contribute significantly to flexible road tax scheme and diagnostic tests by vehicle manufacturers respectively. International Journal of Integrated Engineering (IJIE) 2019 Article PeerReviewed A. Hamid, A. Hadi Fikri and Chang, Kah Weng and A. Rashid, Rozeha and Mohd. Alias, Mohd. Alias and Abdullah, M. Shahidan and Sarijari, M. Adib and Abbas, Mazlan (2019) Smart vehicle monitoring and analysis system with IOT technology. Electrical and Electronic Engineering, 11 (4). pp. 149-158. ISSN 2229-838X https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/4198
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
A. Hamid, A. Hadi Fikri
Chang, Kah Weng
A. Rashid, Rozeha
Mohd. Alias, Mohd. Alias
Abdullah, M. Shahidan
Sarijari, M. Adib
Abbas, Mazlan
Smart vehicle monitoring and analysis system with IOT technology
description In order to reduce the increasing number of road accidents in recent years, the Transport Ministry of Malaysia is keen to study the flexible road tax payment system based on the motorists’ driving behavior which can be monitored using a vehicle monitoring system. However, existing vehicle monitoring systems in the market mostly rely only on Global Positioning System (GPS) to estimate the vehicle’s speed and location which results may be inaccurate once the satellite coverage is lost due to tall buildings or dense forest. Therefore, a Smart Vehicle Monitoring and Analysis System (VMAS) using Internet of Things (IoT) technology is proposed. The developed system comprises of an Android application on smartphone, an On-board Diagnostics II (OBD-II) device and a cloud database management system. OBD-II device will collect real-time data on engine parameters. The data will be automatically extracted using Bluetooth connection to the Android platform for display and to upload data to the cloud server. The cloud server is used for data storage and can be accessed remotely by authorized or administrative personnel via a monitoring webpage. It will provide complete visibility of uploaded data in real time as well as instant activities reports and history logs. The performance investigation shows that the system latency is around 1 second. The data analysis includes driving attributes ranking and fuel efficiency rating which is foreseen to contribute significantly to flexible road tax scheme and diagnostic tests by vehicle manufacturers respectively.
format Article
author A. Hamid, A. Hadi Fikri
Chang, Kah Weng
A. Rashid, Rozeha
Mohd. Alias, Mohd. Alias
Abdullah, M. Shahidan
Sarijari, M. Adib
Abbas, Mazlan
author_facet A. Hamid, A. Hadi Fikri
Chang, Kah Weng
A. Rashid, Rozeha
Mohd. Alias, Mohd. Alias
Abdullah, M. Shahidan
Sarijari, M. Adib
Abbas, Mazlan
author_sort A. Hamid, A. Hadi Fikri
title Smart vehicle monitoring and analysis system with IOT technology
title_short Smart vehicle monitoring and analysis system with IOT technology
title_full Smart vehicle monitoring and analysis system with IOT technology
title_fullStr Smart vehicle monitoring and analysis system with IOT technology
title_full_unstemmed Smart vehicle monitoring and analysis system with IOT technology
title_sort smart vehicle monitoring and analysis system with iot technology
publisher International Journal of Integrated Engineering (IJIE)
publishDate 2019
url http://eprints.utm.my/id/eprint/89307/
https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/4198
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score 13.211869