Case Studies
Feb 7, 2013

Development of City-Specific Driving Cycles for Transit Buses Based on VSP Distributions: Case of Beijing

Publication: Journal of Transportation Engineering
Volume 139, Issue 7

Abstract

With the rapid increase of automobile ownership, the city of Beijing, China, faces challenging issues with regard to traffic congestion and vehicle emissions. In seeking solutions to these issues, developing and improving public transportation systems is considered one of the most feasible and promising strategies because these systems have high passenger-carrying capacity and low pollution on a per passenger basis. Driving cycles reflect traffic conditions, and thus vehicle emissions, and form a scientific base to further improve bus operations. This paper is intended to develop city-specific driving cycles for transit buses for Beijing. The operational data of 126 buses were collected by using a portable global positioning system (GPS) for three types of bus routes: the bus rapid transit (BRT) line, express line, and regular line. Through analysis of the operating characteristics, a methodology for developing driving cycles is proposed based on the parameter of vehicle-specific power (VSP) distribution. Then, by applying this methodology, driving cycles for BRT, express, and regular lines are developed accordingly. Finally, the developed driving cycles are evaluated. Based on the analysis, the proposed driving cycles are able to reflect the real-world operating characteristics of transit buses better than other driving cycles. Furthermore, the emission factors generated based on the developed driving cycles are lower on average than those predicted by using the default driving cycles in the motor vehicle emission simulator (MOVES).

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Acknowledgments

The authors acknowledge the support of this paper by the Fundamental Research Funds for the Central Universities (2011YJS237, 2012JBM054, and 2011BM056). This paper is also supported in part by the Natural Science Foundation of China (NSFC) No. 71273024 and 51208033, the National Science Foundation (NSF) grant No. 1137732, and the United States Department of Transportation under grant No. DTRT12GUTC17.

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Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 139Issue 7July 2013
Pages: 749 - 757

History

Received: Jun 4, 2012
Accepted: Feb 5, 2013
Published online: Feb 7, 2013
Published in print: Jul 1, 2013

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Authors

Affiliations

Jinxuan Lai [email protected]
Ph.D. Candidate, MOE Key Laboratory for Transportation Complex Systems Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong Univ., 100044 Beijing, P.R. China. E-mail: [email protected]
Lei Yu, Ph.D. [email protected]
P.E.
M.ASCE
Professor, College of Science and Technology, Texas Southern Univ., 3100 Cleburne Ave., Houston, TX 77004; and Yangtzi River Scholar, Beijing Jiaotong Univ., P.R. China (corresponding author). E-mail: [email protected]
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. E-mail: [email protected]
Traffic Engineer, TECH Highway Science and Technology Research Institute, High Technology Building, No. 229 Northern 4th Ring Rd., Haidian District, 100083 Beijing, P.R. China. E-mail: [email protected]
Xumei Chen, Ph.D. [email protected]
Professor, MOE Key Laboratory for Transportation Complex Systems Theory and Technology, School of Traffic and Transportation, BeijingJiaotong Univ., 100044 Beijing, P.R. China. E-mail: [email protected]

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