Distribution Characteristics of Vehicle-Specific Power on Urban Restricted-Access Roadways
Publication: Journal of Transportation Engineering
Volume 138, Issue 2
Abstract
The development of new fuel consumption and emission models creates the need to characterize traffic conditions by using vehicle-specific power (VSP) distribution. However, in existing transportation engineering, there has been a lack of knowledge of relationships between the VSP distribution and commonly used traffic parameters and a lack of models to develop the VSP distribution from traffic parameters. To examine how traffic conditions affect VSP distributions, this study uses large samples of floating car data collected from expressways in Beijing to associate VSP distributions with various average travel speeds. After a comprehensive analysis, regular patterns are found between the VSP distribution and the average travel speed. Specifically, when the average travel speed is more than , the VSP distribution comes close to a normal distribution. The mean of the VSP distribution is the VSP value when cruising at the average travel speed, and the standard deviation could be expressed as a power function of the average travel speed. On the basis of these findings, a mathematical model for developing VSP distributions is then derived by using the average travel speed. Finally, an analysis between estimated and actual fuel consumption demonstrates that the VSP distributions developed by the proposed model are applicable for the estimation of fuel consumptions. This study indicates a possibility of developing VSP distributions mathematically for dynamic traffic conditions, which can be integrated practically with traffic models or data for the real-time estimation of fuel consumption and emissions.
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Acknowledgments
The authors acknowledge the supports of this paper by the National Natural Science Foundation of China NNSFC#50878017, Beijing Municipal Science and Technology Commission #UNSPECIFIEDD08050902920801, and the Ph.D. Programs Foundation of the Ministry of Education of China #UNSPECIFIEDT06C10020. The authors are thankful to all the personnel who either provided technical support or helped on data collection and processing.
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© 2012 American Society of Civil Engineers.
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Received: Nov 16, 2009
Accepted: Jun 29, 2011
Published online: Jul 1, 2011
Published in print: Feb 1, 2012
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