Analysing vehicular congestion scenario in Kuala Lumpur using open traffic

Traffic congestion on the roads is mainly the result of overcrowding and this phenomenon happens when a great number of vehicles storm the road, resulting in the disruption of the smooth traffic flow. This greatly affects the daily routines of the people. Not to mention the time that is wasted while...

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Main Authors: Muhammad Ali, Muhammad Ali, Manogaran, Saargunawathy, Mohamad Yusof, Kamaludin, Muhammad Suhaili, Muhammad Ramdhan
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2018
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Online Access:http://eprints.utm.my/id/eprint/85883/1/MohamedSultanMohamedAli2018_AnalysingVehicularCongestionScenario.pdf
http://eprints.utm.my/id/eprint/85883/
http://dx.doi.org/10.11591/ijeecs.v10.i3.pp875-882
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spelling my.utm.858832020-07-30T07:38:52Z http://eprints.utm.my/id/eprint/85883/ Analysing vehicular congestion scenario in Kuala Lumpur using open traffic Muhammad Ali, Muhammad Ali Manogaran, Saargunawathy Mohamad Yusof, Kamaludin Muhammad Suhaili, Muhammad Ramdhan TK Electrical engineering. Electronics Nuclear engineering Traffic congestion on the roads is mainly the result of overcrowding and this phenomenon happens when a great number of vehicles storm the road, resulting in the disruption of the smooth traffic flow. This greatly affects the daily routines of the people. Not to mention the time that is wasted while a person feels stranded in such situation and it results in the loss of productivity, also deteriorates the societal behavior to a certain extent and have adverse effects on the economy. The natural calamities add to the miseries. It becomes very difficult to manage the traffic flow in situations when there are flash floods or other accidents. Therefore the trend of the traffic seems very unpredictable. The real-time information and the past data are deemed as the significant inputs for the predictive analysis. Modern day researchers perform the predictive analysis using the simulations as it does not seems to have any accurate and exact predictive model, mainly because of the higher complexity and the perplexing situation the researchers face while performing the analysis. Open Traffic seems to be a viable option, as it is an open source and can be linked with the Open Street. This research targets to study and understand the Open Traffic platform. In this regard the real-time traffic flow pattern in Kuala Lumpur area was successfully been extracted and the analysis was performed using Open Traffic. It was observed and deduced from the results that Kuala Lumpur faces congestion on every major avenue, junction or intersection it mostly owes to the offices and the economic and commercial centers during the peak hours. Some avenues experience the congestion problem due to the tourism. Institute of Advanced Engineering and Science 2018-06 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/85883/1/MohamedSultanMohamedAli2018_AnalysingVehicularCongestionScenario.pdf Muhammad Ali, Muhammad Ali and Manogaran, Saargunawathy and Mohamad Yusof, Kamaludin and Muhammad Suhaili, Muhammad Ramdhan (2018) Analysing vehicular congestion scenario in Kuala Lumpur using open traffic. Indonesian Journal of Electrical Engineering and Computer Science, 10 (3). pp. 875-882. ISSN 2502-4752 http://dx.doi.org/10.11591/ijeecs.v10.i3.pp875-882
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/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Muhammad Ali, Muhammad Ali
Manogaran, Saargunawathy
Mohamad Yusof, Kamaludin
Muhammad Suhaili, Muhammad Ramdhan
Analysing vehicular congestion scenario in Kuala Lumpur using open traffic
description Traffic congestion on the roads is mainly the result of overcrowding and this phenomenon happens when a great number of vehicles storm the road, resulting in the disruption of the smooth traffic flow. This greatly affects the daily routines of the people. Not to mention the time that is wasted while a person feels stranded in such situation and it results in the loss of productivity, also deteriorates the societal behavior to a certain extent and have adverse effects on the economy. The natural calamities add to the miseries. It becomes very difficult to manage the traffic flow in situations when there are flash floods or other accidents. Therefore the trend of the traffic seems very unpredictable. The real-time information and the past data are deemed as the significant inputs for the predictive analysis. Modern day researchers perform the predictive analysis using the simulations as it does not seems to have any accurate and exact predictive model, mainly because of the higher complexity and the perplexing situation the researchers face while performing the analysis. Open Traffic seems to be a viable option, as it is an open source and can be linked with the Open Street. This research targets to study and understand the Open Traffic platform. In this regard the real-time traffic flow pattern in Kuala Lumpur area was successfully been extracted and the analysis was performed using Open Traffic. It was observed and deduced from the results that Kuala Lumpur faces congestion on every major avenue, junction or intersection it mostly owes to the offices and the economic and commercial centers during the peak hours. Some avenues experience the congestion problem due to the tourism.
format Article
author Muhammad Ali, Muhammad Ali
Manogaran, Saargunawathy
Mohamad Yusof, Kamaludin
Muhammad Suhaili, Muhammad Ramdhan
author_facet Muhammad Ali, Muhammad Ali
Manogaran, Saargunawathy
Mohamad Yusof, Kamaludin
Muhammad Suhaili, Muhammad Ramdhan
author_sort Muhammad Ali, Muhammad Ali
title Analysing vehicular congestion scenario in Kuala Lumpur using open traffic
title_short Analysing vehicular congestion scenario in Kuala Lumpur using open traffic
title_full Analysing vehicular congestion scenario in Kuala Lumpur using open traffic
title_fullStr Analysing vehicular congestion scenario in Kuala Lumpur using open traffic
title_full_unstemmed Analysing vehicular congestion scenario in Kuala Lumpur using open traffic
title_sort analysing vehicular congestion scenario in kuala lumpur using open traffic
publisher Institute of Advanced Engineering and Science
publishDate 2018
url http://eprints.utm.my/id/eprint/85883/1/MohamedSultanMohamedAli2018_AnalysingVehicularCongestionScenario.pdf
http://eprints.utm.my/id/eprint/85883/
http://dx.doi.org/10.11591/ijeecs.v10.i3.pp875-882
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score 13.188404