Improved Vehicle-Specific Power Bins for Light-Duty Vehicles in Estimation of Carbon Dioxide Emissions in Beijing
Abstract
Get full access to this article
View all access and purchase options for this article.
References
Cite article
Cite article
Cite article
Download to reference manager
If you have citation software installed, you can download article citation data to the citation manager of your choice
Information, rights and permissions
Information
Published In

Authors
Metrics and citations
Metrics
Journals metrics
This article was published in Transportation Research Record: Journal of the Transportation Research Board.
VIEW ALL JOURNAL METRICSArticle usage*
Total views and downloads: 35
*Article usage tracking started in December 2016
Altmetric
See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores
Articles citing this one
Receive email alerts when this article is cited
Web of Science: 0
Crossref: 12
- High-Resolution Fuel Consumption Model for Better Characterizations of...
- Quantitative study of vehicle CO2 emission at various temperatures and...
- A methodology for measuring the environmental effect of autonomous bus...
- Characterizing the toxic gaseous emissions of gasoline and diesel vehi...
- Measurement Models for Carbon Dioxide Emission Factors of Passenger Ca...
- Effects of passenger load, road grade, and congestion level on real-wo...
- Comparative study of VSP binning methods for estimating fuel consumpti...
- Determination of GHG Emissions, Fuel Consumption and Thermal Efficienc...
- Speciation of Nitrogen Compounds in the Tailpipe Emissions from a SI C...
- Road grade quantification based on global positioning system data obta...
- Effects of Errors on Vehicle Emission Rates from Portable Emissions Me...
- Statistical Model for Estimating Carbon Dioxide Emissions from a Light...
Figures and tables
Figures & Media
Tables
View Options
Get access
Access options
If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:
loading institutional access options
Alternatively, view purchase options below:
Purchase 24 hour online access to view and download content.
Access journal content via a DeepDyve subscription or find out more about this option.
