The fuel economy of road segments depends mainly on traffic flow saturation, and the economical saturation is about 0·4. The fuel economy of intersections is closely related to split and saturation, and the economical saturation is about 0·2–0·3. Fuel economy models were established with road segments and intersections as elementary units; fuel consumption and traffic flow data collected in the field were used to perform model calibration. A break with the traditional idea that route fuel economy modelling was set by general series systems was made by considering the route as a whole unit instead of using a paralleling system; another break was made to calculate the weighted average fuel economy of origin–destination pairs. On the basis of origin–destination fuel economy, the road network fuel economy model was set up. Ultimately, a partial road network was selected for analysis of the network fuel economy and to verify the correctness and reasonableness of the models.
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April 2014
Research Article|
April 01 2014
Fuel economy of urban road networks based on traffic flow
Yu-qin Feng, PhD;
Yu-qin Feng, PhD
Lecturer
School of Automobile Engineering, Heilongjiang Institute of Technology, Harbin, PR China
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Jun-qiang Leng, PhD;
Jun-qiang Leng, PhD
Assistant Professor
School of Management and School of Automobile Engineering; Harbin Institute of Technology, Weihai, PR China
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Ya-ping Zhang, PhD;
Ya-ping Zhang, PhD
Professor
School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, PR China
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Yi He, BA
Yi He, BA
School of Automobile Engineering, Harbin Institute of Technology, Weihai, PR China
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Publisher: Emerald Publishing
Revision Received:
November 28 2011
Accepted:
March 19 2012
Online ISSN: 1751-7710
Print ISSN: 0965-092X
ICE Publishing: All rights reserved
2014
Proceedings of the Institution of Civil Engineers - Transport (2014) 167 (2): 100–110.
Article history
Revision Received:
November 28 2011
Accepted:
March 19 2012
Citation
Feng Y, Leng J, Zhang Y, He Y (2014), "Fuel economy of urban road networks based on traffic flow". Proceedings of the Institution of Civil Engineers - Transport, Vol. 167 No. 2 pp. 100–110, doi: https://doi.org/10.1680/tran.11.00071
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