Technical Papers
Aug 22, 2012

Modeling Bicycle Passing Maneuvers on Multilane Separated Bicycle Paths

Publication: Journal of Transportation Engineering
Volume 139, Issue 1

Abstract

Bicycle passing maneuvers represent interferences between bicycle travelers and are important operational attributes of bicycle traffic. The number of bicycle passing maneuvers has been used to evaluate the level of service (LOS) of off-street bicycle facilities. The primary objectives of this paper are to propose a method to model bicycle passing maneuvers on multilane bicycle paths with heavy bicycle traffic and explore the characteristics of those passes. The authors classified bicycle passing maneuvers into free, adjacent, and delayed passes according to the lateral distance between bicyclists during the passing. Models were developed to estimate the number of each type of passing maneuver on unidirectional two-, three- and four-lane bicycle paths. The authors used field observations of bicycle traffic on bicycle paths in Nanjing, China to calibrate and validate these models. The model predictions on bicycle passing maneuvers were consistent with the observations. The model sensitivity analyses showed that all passing maneuvers increase as bicycle flow rate increases. The faster a bicycle runs, the more passes the rider encounters. All types of passing maneuvers linearly increase as the standard deviation of bicycle speeds increases. On wider bicycle paths, the probability of free passes remarkably increases, whereas the probabilities of adjacent and delayed passes significantly decrease.

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Acknowledgments

This research was supported by the National Key Basic Research Program (NKBRP) of China (No. 2012CB725400), the National High-Tech Research and Development Program of China (863 Program) (No. 2012AA112304), and the Scientific Research Foundation of the Graduate School of Southeast University (No. YBJJ1150). The authors thank the senior students from the Transportation School of Southeast University for their assistance in field data collection and data reduction.

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Information & Authors

Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 139Issue 1January 2013
Pages: 57 - 64

History

Received: Oct 26, 2011
Accepted: Jun 25, 2012
Published online: Aug 22, 2012
Published in print: Jan 1, 2013

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Authors

Affiliations

Ph.D. Candidate, School of Transportation, Southeast Univ.; and Visiting Scholar, Safe Transportation Research and Education Center, Institute of Transportation Studies, Univ. of California, Berkeley, Si Pai Lou, Number 2, Nanjing, China 210096 (corresponding author). E-mail: [email protected]
Wei Wang, Ph.D. [email protected]
Professor, School of Transportation, Southeast Univ., Si Pai Lou, Number 2, Nanjing, China 210096. E-mail: [email protected]
Pan Liu, Ph.D. [email protected]
Professor, School of Transportation, Southeast Univ., Si Pai Lou, Number 2, Nanjing, China 210096. E-mail: [email protected]
John Bigham [email protected]
M.P.H., Safe Transportation Research and Education Center, Institute of Transportation Studies, Univ. of California, Berkeley, 2614 Dwight Way, Number 7374, Berkeley, CA 94720-7374. E-mail: [email protected]
David R. Ragland, Ph.D. [email protected]
Professor, Safe Transportation Research and Education Center, Institute of Transportation Studies, Univ. of California, Berkeley, 2614 Dwight Way, Number 7374, Berkeley, CA 94720-7374. E-mail: [email protected]

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