TECHNICAL PAPERS
Jul 1, 2011

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 20km/h, 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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Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 138Issue 2February 2012
Pages: 202 - 209

History

Received: Nov 16, 2009
Accepted: Jun 29, 2011
Published online: Jul 1, 2011
Published in print: Feb 1, 2012

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Authors

Affiliations

Guohua Song, Ph.D. [email protected]
Associate Professor, MOE Key Laboratory for Transportation Complex Systems Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong Univ., 100044 Beijing, P.R. China (corresponding author). E-mail: [email protected]
Lei Yu, Ph.D. [email protected]
P.E.
Professor, Dept. of Transportation Studies, Texas Southern Univ., 3100 Cleburne Ave., Houston, TX 77004; and Yangtzi River Scholar, Beijing Jiaotong Univ., 100044 Beijing, P.R. China. E-mail: [email protected]
Traffic Engineer, Chongqing Transport Planning Institute, 237 Diance Cun, Jiangbei District, 400020 Chongqing, P.R. China. E-mail: [email protected]

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