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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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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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 |
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TK Electrical engineering. Electronics Nuclear engineering Ikhwan Hafiz, Muhamad Ng, Siew Ling Utilizing on-board GPS in city buses to determine traffic conditions |
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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. |
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Article |
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Ikhwan Hafiz, Muhamad Ng, Siew Ling |
author_facet |
Ikhwan Hafiz, Muhamad Ng, Siew Ling |
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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 |
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UTeM |
publishDate |
2018 |
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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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