Technical Papers
Feb 25, 2021

Mobility Assessment of Pedestrian and Bicycle Treatments at Complex Continuous Flow Intersections

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 147, Issue 5

Abstract

This study evaluated the mobility performance of pedestrian-bicycle crossing alternatives at continuous flow intersections (CFIs). CFI crossing types were compared with a standard intersection designed to provide an equivalent volume-to-capacity ratio. Three CFI crossing alternatives were tested, namely traditional, offset, and midblock crossings. A total of 12 alternative scenarios were generated by incorporating two bicycle path types and two right-turn control types. These scenarios were analyzed through microsimulation on the basis of stopped delay and number of stops. Simulation results revealed that the offset crossing alternative incurred the least stopped delay for all user classes, including motorized traffic. The traditional crossing generated the least number of stops for most route types. The midblock crossing can be considered as a supplement to the offset and traditional crossings depending on the specific origin–destination patterns at the intersection. The exclusive bicycle path performed better than the shared-use path in most cases. When compared with an equivalent standard intersection, aggregated results showed significant improvement for all CFI crossing types with respect to stopped delay, but the standard intersection had an equal or fewer number of stops for most routes investigated. Regarding the effect on vehicular movement, the lowest volume-to-capacity ratio and control delay at the main intersection was incurred by the offset crossing. Future research should incorporate pedestrian-bicyclists’ safety, comfort, and the relative effects of these crossing alternatives on additional vehicular performance measures.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions. Specifically, the pedestrian and bicyclist speed data used in this study as inputs for the desired speed distribution of pedestrians and bicyclists in VISSIM were collected by Holzem et al. (2015), and hence the availability of those data are contingent on the consent of those researchers. The remaining data, models, and codes that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors are grateful for the financial support of the Southeastern Transportation Research, Innovation, Development and Education (STRIDE) Center, with funding by the USDOT, which sponsored this research. The opinions and conclusions stated in this paper strictly reflect those of the authors, and not of STRIDE, the USDOT, or its constituent members. The authors also are grateful to the NCHRP 07-25 research team for their support in this study.

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Information & Authors

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Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 147Issue 5May 2021

History

Received: Apr 20, 2020
Accepted: Dec 1, 2020
Published online: Feb 25, 2021
Published in print: May 1, 2021
Discussion open until: Jul 25, 2021

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Authors

Affiliations

Postdoctoral Research Scholar, Institute for Transportation Research and Education, North Carolina State Univ., 909 Capability Dr., Raleigh, NC 27695-7908 (corresponding author). ORCID: https://orcid.org/0000-0002-2946-5392. Email: [email protected]
Shannon Warchol [email protected]
Senior Engineer, Kittelson and Associates Inc., 272 N Front St. #410, Wilmington, NC 28401. Email: [email protected]
Chris Cunningham [email protected]
Director, Highway System, Institute for Transportation Research and Education, North Carolina State Univ., 909 Capability Dr., Raleigh, NC 27695-7908. Email: [email protected]
Nagui Rouphail [email protected]
Professor, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Campus Box 7908, Raleigh, NC 27606. Email: [email protected]

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