Aggregate Fuel Consumption Model of Light-Duty Vehicles for Evaluating Effectiveness of Traffic Management Strategies on Fuels
Publication: Journal of Transportation Engineering
Volume 135, Issue 9
Abstract
The primary objective of this research is to develop a practical model for evaluating the effects of traffic management on fuel efficiency. The relationships between the real-world driving activities, the vehicle specific power, and the corresponding fuel consumptions are analyzed based on the data of 26 gasoline and liquefied petroleum gas-fueled light-duty vehicles (LDVs). Then, an indicator for evaluating the level of fuel consumption is designed by dividing the normalized fuel consumption by the fuel use in the most economic scenario. An aggregate model is developed following the design of the indicator that features minimal input requirement and meaningful output for LDVs. In the case studies, the proposed model is applied to estimating and comparing the fuel efficiency of several driving cycles, evaluating the fuel efficiency improvement resulting from the electronic toll collection system, and developing temporal variations of fuel efficiency for a road in Beijing by using floating car data. Finally, the merits of the proposed model are discussed, and the limitations and recommendations are provided for further model improvement.
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Acknowledgments
The writers acknowledge the support of this paper by the National Natural Science Foundation of China (Grant No. UNSPECIFIED50522206), Ph.D. Programs Foundation of Ministry of Education of China (Grant No. UNSPECIFIEDT06C10020), National Basic Research Program of China (Grant No. UNSPECIFIED2006CB705500), and Texas Southern University. The writers would be thankful to all the personnel who either provided the technical support or helped on data collection and processing.
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Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 135 • Issue 9 • September 2009
Pages: 611 - 618
Copyright
© 2009 ASCE.
History
Received: Apr 26, 2008
Accepted: Feb 10, 2009
Published online: Mar 14, 2009
Published in print: Sep 2009
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