Technical Papers
Jan 7, 2021

Development of a Progression-Based Signal-Timing Strategy for Continuous-Flow Intersections

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 147, Issue 3

Abstract

Because continuous-flow intersections (CFIs) are a relatively new intersection design, there are few existing guidelines for designing signal timings for CFIs. An appropriate signal-timing plan will maximize the capacity of the intersection, reduce congestion, and improve safety. This research developed a new signal-timing strategy for CFIs that is based on traffic progression. This new CFI signal-timing strategy was evaluated by conducting traffic simulation-based experiments, and the results of the evaluation showed that it outperformed the signal-timing plan provided by a commonly used existing signal-timing optimization tool. The proposed signal-timing strategy can reduce average traffic delay by 24%, average vehicle travel time by 8.5%, and average queue length by 28.8% at the studied CFI.

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Data Availability Statement

The following data that support the findings of this study are available from the corresponding author upon reasonable request:
developed signal-timing plans for different traffic simulation scenarios, and
outcomes of the traffic simulation-based experiments.

Acknowledgments

This research is supported in part by the United States Department of Transportation (USDOT) under Grant No. 69A3551747133. The contents of this paper reflect the authors’ views, who are responsible for the facts and accuracy of the data presented.

References

Andalibian, R., and Z. Tian. 2012. Signal timing and coordination strategies under varying traffic demands. Rep. No. 236-11-803. Carson City, NV: Nevada DOT.
Chaudhury, N. 2000. Coordination of diamond interchanges with adjacent traffic signals. College Station, TX: Texas Transportation Institute, Texas A&M Univ. System.
Chery, S. 2010. A comparison of non-traditional intersection designs using microscopic simulation. Ann Arbor, MI: ProQuest.
HCM (Highway Capacity Manual). 2010. HCM2010. Washington, DC: Transportation Research Board, National Research Council.
Hughes, W., R. Jagannathan, D. Sengupta, and J. Hummer. 2010. Alternative intersections/interchanges: Informational report (AIIR). McLean, VA: Federal Highway Administration. Office of Research, Development, and Technology.
Ott, S., R. Haley, J. Hummer, R. Foyle, and C. Cunningham. 2012. “Safety effects of unsignalized superstreets in North Carolina.” Accid. Anal. Prev. 45 (Mar): 572–579. https://doi.org/10.1016/j.aap.2011.09.010.
Qi, Y., Q. Zhao, M. Azimi, Q. Sun, J. Li, S. Liu, and S. Shah. 2018. Use of innovative intersection designs for improving mobility and reducing roadway traffic congestion, center for advanced multimodal mobility solutions and education. Charlotte, NC: Univ. of North Carolina.
Roess, R., E. Prassas, and W. McShane. 2004. Traffic engineering. New York: Pearson.
Steyn, H., Z. Bugg, B. Ray, A. Daleiden, P. Jenior, and J. Knudsen. 2014. Displaced left turn informational guide. Washington, DC: USDOT Federal Highway Administration Office of Safety.
Trafficware. 2017. Synchro 10.1 user guide. Sugar Land, TX: Trafficware.
UDOT (Utah Department of Transportation). 2013. “CFI Guideline: A UDOT guide to continuous flow intersections.” Accessed July 3, 2020. https://www.udot.utah.gov/main/uconowner.gf?n=10114119157568379.
Urbanik, T., A. Tanaka, B. Lozner, E. Lindstrom, K. Lee, S. Beaird, and P. Ryus. 2015. Signal timing manual. NCHRP Rep. No. 812. Washington, DC: Transportation Research Board, National Cooperative Highway Research Program.
Wu, X., D. Juarez, and X. Jia. 2014. “Optimal signal timing models for the FHWA and Mexico 4-legged continuous flow intersections.” In Proc., Transportation Research Board 93rd Annual Meeting No. 14-5424. Washington, DC: National Academies of Sciences, Engineering, and Medicine.
Yang, X., and Y. Cheng. 2017. “Development of signal optimization models for asymmetric two-leg continuous flow intersections.” Transp. Res. Part C: Emerging Technol. 74 (Jan): 306–326. https://doi.org/10.1016/j.trc.2016.11.021.
You, X., L. Li, and W. Ma. 2013. “Coordinated optimization model for signal timings of full continuous flow intersections.” Transp. Res. Rec. 2366 (1): 23–33. https://doi.org/10.3141/2356-04.
Zhao, J., Y. Liu, and D. Di. 2016. “Optimization model for layout and signal design of full continuous flow intersections.” Transp. Lett. 8 (4): 194–204. https://doi.org/10.1080/19427867.2015.1109752.

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 3March 2021

History

Received: Mar 18, 2020
Accepted: Nov 18, 2020
Published online: Jan 7, 2021
Published in print: Mar 1, 2021
Discussion open until: Jun 7, 2021

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Authors

Affiliations

Instructor, Shandong Academy of Sciences, Qilu Univ. of Technology, University Rd. 3501, Changqing District, City of Jinan, Shandong Province, PR China. ORCID: https://orcid.org/0000-0003-4139-3544. Email: [email protected]
Shaojie Liu [email protected]
Graduate Research Assistant, Dept. of Transportation Studies, Texas Southern Univ., 3100 Cleburne St., Houston, TX 77004-9986. Email: [email protected]
Research Associate, Dept. of Transportation Studies, Texas Southern Univ., 3100 Cleburne Ave., Houston, TX 77004-9986. ORCID: https://orcid.org/0000-0003-3760-9234. Email: [email protected]
Ph.D. Professor, Dept. of Transportation Studies, Texas Southern Univ., 3100 Cleburne Ave., Houston, TX 77004-9986 (corresponding author). ORCID: https://orcid.org/0000-0002-6314-2626. Email: [email protected]

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