Utilizing on-board GPS in city buses to determine traffic conditions

The traffic congestion has become a major concern to the society. It causes difficulties in journey planning while avoiding the traffic congestion. Increasing number of vehicles lead to traffic congestion, especially during peak hours. There are many Mobile Applications (App) which can update traffi...

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Main Authors: Ikhwan Hafiz, Muhamad, Ng, Siew Ling
Format: Article
Language:English
Published: UTeM 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/21042/1/Utilizing%20on-board%20GPS%20in%20city%20buses%20to%20determine%20traffic%20conditions.pdf
http://umpir.ump.edu.my/id/eprint/21042/
http://journal.utem.edu.my/index.php/jtec/article/viewFile/3331/2400
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Institution: Universiti Malaysia Pahang
Language: English
id my.ump.umpir.21042
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spelling my.ump.umpir.210422018-08-27T03:16:03Z http://umpir.ump.edu.my/id/eprint/21042/ Utilizing on-board GPS in city buses to determine traffic conditions Ikhwan Hafiz, Muhamad Ng, Siew Ling TK Electrical engineering. Electronics Nuclear engineering The traffic congestion has become a major concern to the society. It causes difficulties in journey planning while avoiding the traffic congestion. Increasing number of vehicles lead to traffic congestion, especially during peak hours. There are many Mobile Applications (App) which can update traffic conditions in certain routes, but these applications such as Waze requires the road users to manually update the traffic conditions. Besides that, the road users also require to be online to get the real-time traffic conditions. On the other hand, the traffic data of this App also will not be accurate if fewer people are using this app on that route. Therefore, this project aims to provide automatic updates on traffic conditions to each road user without the need of installing additional App and updates from the user. The traffic conditions are predicted using the onboard GPS data in the city buses. The traffic monitoring algorithm is developed using the Fuzzy Logic Algorithm. The result is displayed in a Graphical User Interface (GUI) and a push notification to the user’s smartphone. The accuracy of this system is 90.34% where the inaccurate data occurred mostly in the data at Pekan, Pahang area due to the unexpected road conditions such as the deflection of the road, uneven road, holes and wild animals crossing which cause the bus driver to slow down the speed. UTeM 2018 Article PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/21042/1/Utilizing%20on-board%20GPS%20in%20city%20buses%20to%20determine%20traffic%20conditions.pdf Ikhwan Hafiz, Muhamad and Ng, Siew Ling (2018) Utilizing on-board GPS in city buses to determine traffic conditions. Journal of Telecommunication, Electronic and Computer Engineering, 10 (1-2). pp. 117-122. ISSN 2180-1843 (Print); 2289-8131 (Online) http://journal.utem.edu.my/index.php/jtec/article/viewFile/3331/2400
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ikhwan Hafiz, Muhamad
Ng, Siew Ling
Utilizing on-board GPS in city buses to determine traffic conditions
description The traffic congestion has become a major concern to the society. It causes difficulties in journey planning while avoiding the traffic congestion. Increasing number of vehicles lead to traffic congestion, especially during peak hours. There are many Mobile Applications (App) which can update traffic conditions in certain routes, but these applications such as Waze requires the road users to manually update the traffic conditions. Besides that, the road users also require to be online to get the real-time traffic conditions. On the other hand, the traffic data of this App also will not be accurate if fewer people are using this app on that route. Therefore, this project aims to provide automatic updates on traffic conditions to each road user without the need of installing additional App and updates from the user. The traffic conditions are predicted using the onboard GPS data in the city buses. The traffic monitoring algorithm is developed using the Fuzzy Logic Algorithm. The result is displayed in a Graphical User Interface (GUI) and a push notification to the user’s smartphone. The accuracy of this system is 90.34% where the inaccurate data occurred mostly in the data at Pekan, Pahang area due to the unexpected road conditions such as the deflection of the road, uneven road, holes and wild animals crossing which cause the bus driver to slow down the speed.
format Article
author Ikhwan Hafiz, Muhamad
Ng, Siew Ling
author_facet Ikhwan Hafiz, Muhamad
Ng, Siew Ling
author_sort Ikhwan Hafiz, Muhamad
title Utilizing on-board GPS in city buses to determine traffic conditions
title_short Utilizing on-board GPS in city buses to determine traffic conditions
title_full Utilizing on-board GPS in city buses to determine traffic conditions
title_fullStr Utilizing on-board GPS in city buses to determine traffic conditions
title_full_unstemmed Utilizing on-board GPS in city buses to determine traffic conditions
title_sort utilizing on-board gps in city buses to determine traffic conditions
publisher UTeM
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/21042/1/Utilizing%20on-board%20GPS%20in%20city%20buses%20to%20determine%20traffic%20conditions.pdf
http://umpir.ump.edu.my/id/eprint/21042/
http://journal.utem.edu.my/index.php/jtec/article/viewFile/3331/2400
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