Technical Papers
Oct 9, 2019

Dynamic Lane-Based Signal Merge Control for Freeway Work Zone Operations

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 145, Issue 12

Abstract

Traditional merge control strategies cannot yield the expected effectiveness under heavy traffic conditions at freeway work zones because inevitable traffic conflicts resulting from complex merging and lane-changing maneuvers could increase the potential of traffic collisions, induce stop-and-go movements, and degrade the operational efficiency. This paper presents a dynamic control model to optimize the signal operations of a new merge system, the lane-based signal merge (LBSM), which uses lane-based signals or variable signs to give drivers in different lanes the right of way to proceed through the open lane(s) in a work zone area. The control objective is to maximize the work zone throughput. A genetic algorithm is employed to solve the model. Results reveal that the proposed method yields promising work zone operational performance under heavy traffic conditions.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

The authors are grateful to the support of the Natural Science Foundation of Jiangsu Province, China (Grant No. BK20151464). Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of these funding bodies.

References

Alecsandru, C. D. 2006. “A stochastic mesoscopic cell-transmission model for operational analysis of large-scale transportation networks.” Ph.D. dissertation, Dept. of Civil and Environmental Engineering, Louisiana State Univ.
Chow, A. H., and H. K. Lo. 2007. “Sensitivity analysis of signal control with physical queuing: Delay derivatives and an application.” Transp. Res. Part B: Methodol. 41 (4): 462–477. https://doi.org/10.1016/j.trb.2006.06.007.
Daganzo, C. F. 1994. “The cell transmission model: A simple dynamic representation of highway traffic.” Transp. Res. Part B 28 (4): 269–287. https://doi.org/10.1016/0191-2615(94)90002-7.
Daganzo, C. F. 1995. “The cell transmission model. II: Network traffic.” Transp. Res. Part B 29 (2): 79–93. https://doi.org/10.1016/0191-2615(94)00022-R.
Dotoli, M., M. P. Fanti, and C. Meloni. 2006. “A signal timing plan formulation for urban traffic control.” Control Eng. Pract. 14 (11): 1297–1311. https://doi.org/10.1016/j.conengprac.2005.06.013.
FHWA (Federal Highway Administration). 2003. Manual on uniform traffic control devices. Washington, DC: DOT.
Gao, Y., Y. Liu, H. Hu, and Y. E. Ge. 2016. “Modeling traffic operation at signalized intersections without explicit left-turn yielding rules with an enhanced cell transmission model.” J. Adv. Transp. 50 (7): 1470–1488. https://doi.org/10.1002/atr.1411.
Gomes, G., R. Horowitz, A. A. Kurzhanskiy, P. Varaiya, and J. Kwon. 2008. “Behavior of the cell transmission model and effectiveness of ramp metering.” Transp. Res. Part C: Emerging Technol. 16 (4): 485–513. https://doi.org/10.1016/j.trc.2007.10.005.
Idewu, W., and B. Wolshon. 2010. “Joint merge and its impact on merging speeds in lane reduction areas of construction zone.” Transp. Res. Rec. 2169 (1): 31–39. https://doi.org/10.3141/2169-04.
Ishak, S., Y. Qi, and P. Rayaprolu. 2012. “Safety evaluation of joint and conventional lane merge configurations for freeway work zones.” Traffic Inj. Prev. 13 (2): 199–208. https://doi.org/10.1080/15389588.2011.644606.
Kang, K. P., and G. L. Chang. 2009. “Lane-based dynamic merge control strategy based on optimal thresholds for highway work zone operations.” J. Transp. Eng. 135 (6): 359–370. https://doi.org/10.1061/(ASCE)0733-947X(2009)135:6(359).
Kang, K. P., G. L. Chang, and J. Paracha. 2006. “Dynamic late merge control at highway work zones: Evaluations, observations, and suggestions.” Transp. Res. Rec. 1948 (1): 86–95. https://doi.org/10.1177/0361198106194800110.
Kong, D., X. Guo, X. Xu, and J. Hou. 2015. “Analysis of late merge control at freeway on-ramp based on microscopic simulation.” In Proc., 15th COTA Int. Conf. of Transportation Professionals, 2050–2061. Reston, VA: ASCE.
Li, Z. 2010. “Modeling arterial signal optimization with enhanced cell transmission formulations.” J. Transp. Eng. 137 (7): 445–454. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000232.
Lin, P. W., K. P. Kang, and G. L. Chang. 2004. “Exploring the effectiveness of variable speed limit controls on highway work-zone operations.” Intell. Transp. Syst. 8 (3): 155–168. https://doi.org/10.1080/15472450490492851.
Lin, W. H., and C. Wang. 2004. “An enhanced 0-1 mixed-integer LP formulation for traffic signal control.” IEEE Trans. Intell. Transp. Syst. 5 (4): 238–245. https://doi.org/10.1109/TITS.2004.838217.
Liu, Y., X. Lai, and G. L. Chang. 2006. “Two-level integrated optimization system for planning of emergency evacuation.” J. Transp. Eng. 132 (10): 800–807. https://doi.org/10.1061/(ASCE)0733-947X(2006)132:10(800).
Lo, H. K. 2001. “A cell-based traffic control formulation: Strategies and benefits of dynamic timing plans.” Transp. Sci. 35 (2): 148–164. https://doi.org/10.1287/trsc.35.2.148.10136.
Lo, H. K., and W. Y. Szeto. 2002. “A cell-based dynamic traffic assignment model: Formulation and properties.” Math. Comput. Modell. 35 (7–8): 849–865. https://doi.org/10.1016/S0895-7177(02)00055-9.
McCoy, P., and G. Pesti. 2001. “Dynamic late merge-control concept for work zones on rural interstate highways.” Transp. Res. Rec. 1745 (1): 20–26. https://doi.org/10.3141/1745-03.
McCoy, P. T., G. Pesti, and P. S. Byrd. 1999. Alternative driver information to alleviate work-zone-related delays. Lincoln, NE: Dept. of Civil Engineering College of Engineering and Technology, Univ. of Nebraska.
Meyer, E. 2004. Project year 2002 evaluations: Construction area late merge (CALM) system. Topeka, KS: Kansas DOT.
Pesti, G., D. Jessen, P. Byrd, and P. McCoy. 1999. “Traffic flow characteristics of the late merge work zone control strategy.” Transp. Res. Rec. 1657 (1): 1–9. https://doi.org/10.3141/1657-01.
PTV (Planung Transport Verkehr). 2013. VISSIM 9 user manual. Karlsruhe, Germany: PTV.
Qi, L., M. Zhou, and W. Luan. 2016. “A two-level traffic light control strategy for preventing incident-based urban traffic congestion.” IEEE Trans. Intell. Transp. Syst. 19 (1): 13–24. https://doi.org/10.1109/TITS.2016.2625324.
Rayaprolu, P., S. Ishak, Y. Qi, and B. Wolshon. 2013. “Operational assessment of joint and conventional lane merge configurations for freeway work zones.” J. Intell. Transp. Syst. 17 (4): 255–267. https://doi.org/10.1080/15472450.2012.707052.
Taavola, D., J. Jackels, and T. Swenson. 2004. Dynamic late merge system evaluation: Initial deployment on US-10, summer 2003. Saint Paul, MN: Minnesota DOT.
Walters, C. H., V. J. Pezoldt, K. N. Womack, S. A. Cooner, and B. T. Kuhn. 2000. Understanding road rage: Summary of first-year project activities. Austin, TX: Texas DOT.
Wang, P., L. S. Jones, and Q. Yang. 2012. “A novel conditional cell transmission model for oversaturated arterials.” J. Cent. S. Univ. 19 (5): 1466–1474. https://doi.org/10.1007/s11771-012-1163-6.
Yang, N., G. L. Chang, and K. P. Kang. 2009. “Simulation-based study on a lane-based signal system for merge control at freeway work zones.” J. Transp. Eng. 135 (1): 9–17. https://doi.org/10.1061/(ASCE)0733-947X(2009)135:1(9).
Zhang, X., and G. L. Chang. 2014. “Optimal control strategies with an extended cell transmission model for massive vehicular-pedestrian mixed flows in the evacuation zone.” J. Adv. Transp. 48 (8): 1030–1050. https://doi.org/10.1002/atr.1243.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 145Issue 12December 2019

History

Received: Dec 6, 2017
Accepted: Jan 11, 2019
Published online: Oct 9, 2019
Published in print: Dec 1, 2019
Discussion open until: Mar 9, 2020

Permissions

Request permissions for this article.

Authors

Affiliations

Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin at Milwaukee, P.O. Box 784, Milwaukee, WI 53201-0784. ORCID: https://orcid.org/0000-0002-7035-4942. Email: [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin at Milwaukee, P.O. Box 784, Milwaukee, WI 53201-0784 (corresponding author). Email: [email protected]
Professor, Dept. of Information Engineering, Jiangsu Open Univ., 399 North Jiangdong Rd., Nanjing 210017, China. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share