Vehicle emissions calculation for urban roads based on the Macroscopic Fundamental Diagram method and real-time traffic information

Vehicle emissions calculation methods mostly use ownership information or annual road monitoring data as the activity level to calculate air pollutant emissions, but it is hard to reflect either the emissions intensity under different conditions or the spatiotemporal characteristics in various secti...

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Main Authors: Kun WANG, Yali TONG, Tianhui CAO, Chenlong WANG, Renjie WANG, Jiajia GAO, Yuan LIU
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2020-03-01
Series:Atmospheric and Oceanic Science Letters
Subjects:
Online Access:http://dx.doi.org/10.1080/16742834.2019.1710106
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spelling doaj-4ed88a21081d4179b666d45558c784072021-04-02T20:09:53ZengKeAi Communications Co., Ltd.Atmospheric and Oceanic Science Letters1674-28342376-61232020-03-01132899610.1080/16742834.2019.17101061710106Vehicle emissions calculation for urban roads based on the Macroscopic Fundamental Diagram method and real-time traffic informationKun WANG0Yali TONG1Tianhui CAO2Chenlong WANG3Renjie WANG4Jiajia GAO5Yuan LIU6Beijing Municipal Institute of Labor ProtectionBeijing Municipal Institute of Labor ProtectionEnvironmental Science Research & Design Institute of Zhejiang ProvinceBeijing Municipal Institute of Labor ProtectionTransport Planning and Research Institute BeijingBeijing Municipal Institute of Labor ProtectionChina Association of Environmental Protection IndustryVehicle emissions calculation methods mostly use ownership information or annual road monitoring data as the activity level to calculate air pollutant emissions, but it is hard to reflect either the emissions intensity under different conditions or the spatiotemporal characteristics in various sections based on such approaches. This paper presents a method based on the Macroscopic Fundamental Diagram and real-time traffic data to calculate vehicle emissions, which could reflect the operation conditions and emission characteristics of vehicles. Following the ‘Technical Guide for the Compiling of Road Vehicle Air Pollutant Emissions Inventories’, the emissions of three roads with different lane numbers and road grades in Beijing were estimated and verified using this method. Compared with monitoring data, the average deviations of the traffic flow on the Fifth Expressway, Jingfu National Highway, and Jingzhou Provincial Highway were −25.5%, −26.5%, and −13.4%, respectively, and the average deviations of nitrogen oxides emissions were −27.7%, −12.9%, and −12%, respectively. This method showed good application potentials to construct the emissions inventory applied to the block-scale model and analyze the spatiotemporal distribution characteristics of motor vehicle emissions in urban areas.http://dx.doi.org/10.1080/16742834.2019.1710106macroscopic fundamental diagramtraffic emissionsroad typevehicle typereal-time data
collection DOAJ
language English
format Article
sources DOAJ
author Kun WANG
Yali TONG
Tianhui CAO
Chenlong WANG
Renjie WANG
Jiajia GAO
Yuan LIU
spellingShingle Kun WANG
Yali TONG
Tianhui CAO
Chenlong WANG
Renjie WANG
Jiajia GAO
Yuan LIU
Vehicle emissions calculation for urban roads based on the Macroscopic Fundamental Diagram method and real-time traffic information
Atmospheric and Oceanic Science Letters
macroscopic fundamental diagram
traffic emissions
road type
vehicle type
real-time data
author_facet Kun WANG
Yali TONG
Tianhui CAO
Chenlong WANG
Renjie WANG
Jiajia GAO
Yuan LIU
author_sort Kun WANG
title Vehicle emissions calculation for urban roads based on the Macroscopic Fundamental Diagram method and real-time traffic information
title_short Vehicle emissions calculation for urban roads based on the Macroscopic Fundamental Diagram method and real-time traffic information
title_full Vehicle emissions calculation for urban roads based on the Macroscopic Fundamental Diagram method and real-time traffic information
title_fullStr Vehicle emissions calculation for urban roads based on the Macroscopic Fundamental Diagram method and real-time traffic information
title_full_unstemmed Vehicle emissions calculation for urban roads based on the Macroscopic Fundamental Diagram method and real-time traffic information
title_sort vehicle emissions calculation for urban roads based on the macroscopic fundamental diagram method and real-time traffic information
publisher KeAi Communications Co., Ltd.
series Atmospheric and Oceanic Science Letters
issn 1674-2834
2376-6123
publishDate 2020-03-01
description Vehicle emissions calculation methods mostly use ownership information or annual road monitoring data as the activity level to calculate air pollutant emissions, but it is hard to reflect either the emissions intensity under different conditions or the spatiotemporal characteristics in various sections based on such approaches. This paper presents a method based on the Macroscopic Fundamental Diagram and real-time traffic data to calculate vehicle emissions, which could reflect the operation conditions and emission characteristics of vehicles. Following the ‘Technical Guide for the Compiling of Road Vehicle Air Pollutant Emissions Inventories’, the emissions of three roads with different lane numbers and road grades in Beijing were estimated and verified using this method. Compared with monitoring data, the average deviations of the traffic flow on the Fifth Expressway, Jingfu National Highway, and Jingzhou Provincial Highway were −25.5%, −26.5%, and −13.4%, respectively, and the average deviations of nitrogen oxides emissions were −27.7%, −12.9%, and −12%, respectively. This method showed good application potentials to construct the emissions inventory applied to the block-scale model and analyze the spatiotemporal distribution characteristics of motor vehicle emissions in urban areas.
topic macroscopic fundamental diagram
traffic emissions
road type
vehicle type
real-time data
url http://dx.doi.org/10.1080/16742834.2019.1710106
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AT yalitong vehicleemissionscalculationforurbanroadsbasedonthemacroscopicfundamentaldiagrammethodandrealtimetrafficinformation
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