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First published online August 29, 2018

Modeling Urban Bus Fuel Consumption in Shanghai, China, Based on Localized MOVES

Abstract

In China, urban bus energy consumption is an increasing concern due to system expansion and poor energy efficiency due to frequent stopping and starting by buses. This study develops a mesoscopic bus energy consumption model based on the U.S. Environment Protection Agency’s Motor Vehicle Emission Simulator (MOVES). To localize MOVES, link operating mode distribution is calculated by bus GPS data collected from nine routes in Shanghai, China. A comparison of bus fuel economy between the U.S.A. and China is conducted to determine the model years in U.S.A. and China which have similar fuel consumption performance for buses with a certain weight. After MOVES localization, link energy consumption factors are estimated, and then the impacts of average speed, vehicle stops, acceleration, and road facility on link energy consumption factors are explored. Based on this exploration of influential variables, this study develops link-level bus energy consumption factor look-up tables for a variety of bus types. Model validation indicates that using link-level indicators to estimate bus energy consumption can achieve acceptable accuracy, and that the link type classification method can influence the accuracy of the mesoscopic bus energy consumption model. This study is useful to estimate bus energy consumption when instantaneous speed data is unavailable. This study also explores the extended application of MOVES by offering a procedure for applying MOVES to develop a bus energy consumption model in regions beyond the U.S.A.

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References

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Article first published online: August 29, 2018
Issue published: December 2018

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© National Academy of Sciences: Transportation Research Board 2018.
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Authors

Affiliations

Wenjian Jia
Key Laboratory of Road Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, P. R. China
Xiaohong Chen
Key Laboratory of Road Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, P. R. China
Xiaonian Shan
Key Laboratory of Road Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, P. R. China

Notes

Address correspondence to Xiaohong Chen: [email protected]

Author Contributions

The authors confirm contribution to the paper as follows: study conception and design: Wenjian Jia, Xiaohong Chen; data collection: Wenjian Jia; analysis and interpretation of results: Wenjian Jia, Xiaohong Chen, Xiaonian Shan; draft manuscript preparation: Wenjian Jia. All authors reviewed the results and approved the final version of the manuscript.

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