Micro-analysis of a single vehicle driving volatility and impacts on emissions for intercity corridors

Bibliographic Details
Main Author: Ferreira, E.
Publication Date: 2021
Other Authors: Fernandes, P., Bahmankhah, B., Coelho, M. C.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10773/31591
Summary: A deep understanding of driver behavior is an important step to improve road safety and environmental performance. Volatility can be defined as the extent of variations in driving, which can be characterized by accelerations/braking, lane change, and unusual high speed for roadways conditions. There is a lack of knowledge on what concerns the relationship between driver’s volatility and exhaust emissions and how driving volatility can be used as safety eco-indicator. This article explores a driving volatility concept for assessing tailpipe emissions and driving behavior classification. For that purpose, an empirical approach that combined vehicle activity and emission rates for light duty vehicles was used. Field measurements were collected from four probe vehicles in one partly urban/rural, and two highway routes using Portable Emission Measurement Systems, Global Positioning System receivers, and On-board Diagnostic scan tool, to measure real-world tailpipe emissions, position and engine activity data. Acceleration-based parameters, including relative positive acceleration and mean of positive acceleration, acceleration, vehicular jerk, and power demand thresholds were used to detect differences in emissions for different driving styles. Results indicated that vehicular jerk impacted carbon dioxide and nitrogen oxides per unit distance regardless of driving style and route type, especially from negative to null jerk values and during positive accelerations. There is potential to incorporate the analyzed thresholds into a driver decision support algorithm by considering safety and environmental aspects through warning messages.
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spelling Micro-analysis of a single vehicle driving volatility and impacts on emissions for intercity corridorsDriving volatilityTailpipe emissionsVehicular jerkPower demandA deep understanding of driver behavior is an important step to improve road safety and environmental performance. Volatility can be defined as the extent of variations in driving, which can be characterized by accelerations/braking, lane change, and unusual high speed for roadways conditions. There is a lack of knowledge on what concerns the relationship between driver’s volatility and exhaust emissions and how driving volatility can be used as safety eco-indicator. This article explores a driving volatility concept for assessing tailpipe emissions and driving behavior classification. For that purpose, an empirical approach that combined vehicle activity and emission rates for light duty vehicles was used. Field measurements were collected from four probe vehicles in one partly urban/rural, and two highway routes using Portable Emission Measurement Systems, Global Positioning System receivers, and On-board Diagnostic scan tool, to measure real-world tailpipe emissions, position and engine activity data. Acceleration-based parameters, including relative positive acceleration and mean of positive acceleration, acceleration, vehicular jerk, and power demand thresholds were used to detect differences in emissions for different driving styles. Results indicated that vehicular jerk impacted carbon dioxide and nitrogen oxides per unit distance regardless of driving style and route type, especially from negative to null jerk values and during positive accelerations. There is potential to incorporate the analyzed thresholds into a driver decision support algorithm by considering safety and environmental aspects through warning messages.Taylor & Francis2021-07-16T13:52:53Z2021-05-07T00:00:00Z2021-05-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/31591eng1556-831810.1080/15568318.2021.1919797Ferreira, E.Fernandes, P.Bahmankhah, B.Coelho, M. C.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-06T04:32:19Zoai:ria.ua.pt:10773/31591Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:11:45.995301Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Micro-analysis of a single vehicle driving volatility and impacts on emissions for intercity corridors
title Micro-analysis of a single vehicle driving volatility and impacts on emissions for intercity corridors
spellingShingle Micro-analysis of a single vehicle driving volatility and impacts on emissions for intercity corridors
Ferreira, E.
Driving volatility
Tailpipe emissions
Vehicular jerk
Power demand
title_short Micro-analysis of a single vehicle driving volatility and impacts on emissions for intercity corridors
title_full Micro-analysis of a single vehicle driving volatility and impacts on emissions for intercity corridors
title_fullStr Micro-analysis of a single vehicle driving volatility and impacts on emissions for intercity corridors
title_full_unstemmed Micro-analysis of a single vehicle driving volatility and impacts on emissions for intercity corridors
title_sort Micro-analysis of a single vehicle driving volatility and impacts on emissions for intercity corridors
author Ferreira, E.
author_facet Ferreira, E.
Fernandes, P.
Bahmankhah, B.
Coelho, M. C.
author_role author
author2 Fernandes, P.
Bahmankhah, B.
Coelho, M. C.
author2_role author
author
author
dc.contributor.author.fl_str_mv Ferreira, E.
Fernandes, P.
Bahmankhah, B.
Coelho, M. C.
dc.subject.por.fl_str_mv Driving volatility
Tailpipe emissions
Vehicular jerk
Power demand
topic Driving volatility
Tailpipe emissions
Vehicular jerk
Power demand
description A deep understanding of driver behavior is an important step to improve road safety and environmental performance. Volatility can be defined as the extent of variations in driving, which can be characterized by accelerations/braking, lane change, and unusual high speed for roadways conditions. There is a lack of knowledge on what concerns the relationship between driver’s volatility and exhaust emissions and how driving volatility can be used as safety eco-indicator. This article explores a driving volatility concept for assessing tailpipe emissions and driving behavior classification. For that purpose, an empirical approach that combined vehicle activity and emission rates for light duty vehicles was used. Field measurements were collected from four probe vehicles in one partly urban/rural, and two highway routes using Portable Emission Measurement Systems, Global Positioning System receivers, and On-board Diagnostic scan tool, to measure real-world tailpipe emissions, position and engine activity data. Acceleration-based parameters, including relative positive acceleration and mean of positive acceleration, acceleration, vehicular jerk, and power demand thresholds were used to detect differences in emissions for different driving styles. Results indicated that vehicular jerk impacted carbon dioxide and nitrogen oxides per unit distance regardless of driving style and route type, especially from negative to null jerk values and during positive accelerations. There is potential to incorporate the analyzed thresholds into a driver decision support algorithm by considering safety and environmental aspects through warning messages.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-16T13:52:53Z
2021-05-07T00:00:00Z
2021-05-07
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/31591
url http://hdl.handle.net/10773/31591
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1556-8318
10.1080/15568318.2021.1919797
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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