Fuel Consumption Monitoring through COPERT Model—A Case Study for Urban Sustainability

Trackers installed in vehicles gives insights into many useful information and predict future mobility patterns and other aspects related to vehicles movement which can be used for smart and sustainable cities planning. A novel approach is used with the COPERT model to estimate fuel consumption on a...

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Autores principales:	Muhammad Ali, Muhammad Daud Kamal, Ali Tahir, Salman Atif
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	COPERT Global Positioning System (GPS) fuel consumption apache spark big data spatio-temporal queries Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/fa3fe4e294724a73a8fa11263d14594c
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id	oai:doaj.org-article:fa3fe4e294724a73a8fa11263d14594c
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spelling	oai:doaj.org-article:fa3fe4e294724a73a8fa11263d14594c2021-11-11T19:22:23ZFuel Consumption Monitoring through COPERT Model—A Case Study for Urban Sustainability10.3390/su1321116142071-1050https://doaj.org/article/fa3fe4e294724a73a8fa11263d14594c2021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11614https://doaj.org/toc/2071-1050Trackers installed in vehicles gives insights into many useful information and predict future mobility patterns and other aspects related to vehicles movement which can be used for smart and sustainable cities planning. A novel approach is used with the COPERT model to estimate fuel consumption on a huge dataset collected over a period of one year. Since the data size is enormous, Apache Spark, a big data analytical framework is used for performance gains while estimating vehicle fuel consumption with the lowest latency possible. The research presents peak and off-peak hours fuel consumption’s in three major cities, i.e., Karachi, Lahore and Islamabad. The results can assist smart city professionals to plan alternative trip routes, avoid traffic congestion in order to save fuel and time, and protect against urban pollution for effective smart city planning. The research will be a step towards Industry 5.0 by combining sustainable disruptive technologies.Muhammad AliMuhammad Daud KamalAli TahirSalman AtifMDPI AGarticleCOPERTGlobal Positioning System (GPS)fuel consumptionapache sparkbig dataspatio-temporal queriesEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11614, p 11614 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	COPERT Global Positioning System (GPS) fuel consumption apache spark big data spatio-temporal queries Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	COPERT Global Positioning System (GPS) fuel consumption apache spark big data spatio-temporal queries Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Muhammad Ali Muhammad Daud Kamal Ali Tahir Salman Atif Fuel Consumption Monitoring through COPERT Model—A Case Study for Urban Sustainability
description	Trackers installed in vehicles gives insights into many useful information and predict future mobility patterns and other aspects related to vehicles movement which can be used for smart and sustainable cities planning. A novel approach is used with the COPERT model to estimate fuel consumption on a huge dataset collected over a period of one year. Since the data size is enormous, Apache Spark, a big data analytical framework is used for performance gains while estimating vehicle fuel consumption with the lowest latency possible. The research presents peak and off-peak hours fuel consumption’s in three major cities, i.e., Karachi, Lahore and Islamabad. The results can assist smart city professionals to plan alternative trip routes, avoid traffic congestion in order to save fuel and time, and protect against urban pollution for effective smart city planning. The research will be a step towards Industry 5.0 by combining sustainable disruptive technologies.
format	article
author	Muhammad Ali Muhammad Daud Kamal Ali Tahir Salman Atif
author_facet	Muhammad Ali Muhammad Daud Kamal Ali Tahir Salman Atif
author_sort	Muhammad Ali
title	Fuel Consumption Monitoring through COPERT Model—A Case Study for Urban Sustainability
title_short	Fuel Consumption Monitoring through COPERT Model—A Case Study for Urban Sustainability
title_full	Fuel Consumption Monitoring through COPERT Model—A Case Study for Urban Sustainability
title_fullStr	Fuel Consumption Monitoring through COPERT Model—A Case Study for Urban Sustainability
title_full_unstemmed	Fuel Consumption Monitoring through COPERT Model—A Case Study for Urban Sustainability
title_sort	fuel consumption monitoring through copert model—a case study for urban sustainability
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/fa3fe4e294724a73a8fa11263d14594c
work_keys_str_mv	AT muhammadali fuelconsumptionmonitoringthroughcopertmodelacasestudyforurbansustainability AT muhammaddaudkamal fuelconsumptionmonitoringthroughcopertmodelacasestudyforurbansustainability AT alitahir fuelconsumptionmonitoringthroughcopertmodelacasestudyforurbansustainability AT salmanatif fuelconsumptionmonitoringthroughcopertmodelacasestudyforurbansustainability
_version_	1718431564612763648

Fuel Consumption Monitoring through COPERT Model—A Case Study for Urban Sustainability

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