Technical Papers
Feb 1, 2023

Integrated Real-Time Interchange Control System for Freeway Ramps and the Connecting Arterial

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 149, Issue 4

Abstract

Contending with various recurrent congestion patterns on major freeway corridors has long been a prioritized task of the transportation community. Most of these patterns take place on a freeway interchange’s on-ramp and off-ramp segments where both exiting and merging flows often trigger a series of lane changes, resulting in significant freeway speed reduction and propagation of traffic queues to neighboring surface streets. To concurrently mitigate freeway traffic congestion and minimize any negative impacts on the nearby local arterials, this study has developed an Integrated Real-time Interchange Control (IRIC) system, which maximizes the benefits of both freeway and arterial users by fusing an integrated off-ramp signal control (IOSC) module, an off-ramp queue impact (OQI) model, a lane group-based (LGB) traffic model, and a ramp metering control strategy as well as arterial signal optimization modules. The proposed system with both ramp metering functions and local arterial signal design capabilities can determine whether to implement system-wide optimization or merely the ramp metering based on real-time detected traffic conditions. The evaluation results from experiments have confirmed the effectiveness of the developed real-time interchange control system, especially with respect to its ability of preventing ramp queue overflows to the neighboring arterials and minimizing the off-ramp spillback onto the freeway mainline.

Get full access to this article

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

Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors are grateful to Dr. Gang-Len Chang for the valuable guidance and instructions during this study.

References

Achillides, C., and D. Bullock. 2004. Performance metrics for freeway sensor, 164. West Lafayette, IN: Joint Transportation Research Program.
Agarwal, S., P. Kachroo, S. Contreras, and S. Sastry. 2015. “Feedback-coordinated ramp control of consecutive on-ramps using distributed modeling and Godunov-based satisfiable allocation.” IEEE Trans. Intell. Transp. Syst. 16 (5): 2384–2392. https://doi.org/10.1109/TITS.2015.2398453.
Carlson, R. C., I. Papamichail, and M. Papageorgiou. 2014. “Integrated feedback ramp metering and mainstream traffic flow control on motorways using variable speed limits.” Transp. Res. Part C: Emerging Technol. 46 (Jun): 209–221. https://doi.org/10.1016/j.trc.2014.05.017.
Carlson, R. C., I. Papamichail, M. Papageorgiou, and A. Messmer. 2010a. “Optimal motorway traffic flow control involving variable speed limits and ramp metering.” Transp. Sci. 44 (2): 238–253. https://doi.org/10.1287/trsc.1090.0314.
Carlson, R. C., I. Papamichail, M. Papageorgiou, and A. Messmer. 2010b. “Optimal mainstream traffic flow control of large-scale motorway networks.” Transp. Res. Part C: Emerging Technol. 18 (2): 193–212. https://doi.org/10.1016/j.trc.2009.05.014.
Chang, G. L., Y. Cheng, Y. Y. Chen, and Y. H. Chen. 2020. Integration of ramp metering and off-ramp progression. Hanover, MD: Maryland DOT.
Chen, Y. Y. 2021. “An integrated real-time interchange control system.” Doctoral dissertation, Dept. of Civil and Environmental Engineering, Univ. of Maryland.
Chen, Y. Y., Y. H. Chen, and G. L. Chang. 2021b. “Optimizing the integrated off-ramp signal control to prevent queue spillback to the freeway mainline.” Transp. Res. Part C: Emerging Technol. 128 (Jun): 103220. https://doi.org/10.1016/j.trc.2021.103220.
Chen, Y. Y., Y. Cheng, and G. L. Chang. 2021a. “Lane group–based traffic model for assessing on-ramp traffic impact.” J. Transp. Eng. Part A: Syst. 147 (2): 04020152. https://doi.org/10.1061/JTEPBS.0000481.
Cheng, Y., and G.-L. Chang. 2021. “An arterial-friendly local ramp metering control strategy.” Transp. Res. Rec. 2675 (7): 67–80. https://doi.org/10.1177/0361198121994581.
Chow, A. H., and Y. Li. 2014. “Robust optimization of dynamic motorway traffic via ramp metering.” IEEE Trans. Intell. Transp. Syst. 15 (3): 1374–1380. https://doi.org/10.1109/TITS.2014.2310454.
Cui, C., J. Cui, and H. Lee. 2014. “Real-time stochastic optimal control for traffic signals of multiple intersections.” Artif. Life Rob. 19 (2): 142–149. https://doi.org/10.1007/s10015-014-0151-3.
Dai, Y., J. Hu, D. Zhao, and F. Zhu. 2011. Neural network based online traffic signal controller design with reinforcement training. In Proc., 14th Int. IEEE Conf. on Intelligent Transportation Systems (ITSC), 1045–1050. New York: IEEE.
Frejo, J. R. D., and E. F. Camacho. 2012. “Global versus local MPC algorithms in freeway traffic control with ramp metering and variable speed limits.” IEEE Trans. Intell. Transp. Syst. 13 (4): 1556–1565. https://doi.org/10.1109/TITS.2012.2195493.
Frejo, J. R. D., and B. De Schutter. 2018. “Feed-Forward ALINEA: A ramp metering control algorithm for nearby and distant bottlenecks.” IEEE Trans. Intell. Transp. Syst. 20 (7): 2448–2458. https://doi.org/10.1109/TITS.2018.2866121.
Geroliminis, N., A. Srivastava, and P. Michalopoulos. 2011. “A dynamic-zone-based coordinated ramp-metering algorithm with queue constraints for Minnesota’s freeways.” IEEE Trans. Intell. Transp. Syst. 12 (4): 1576–1586. https://doi.org/10.1109/TITS.2011.2164792.
Ghods, A. H., L. Fu, and A. Rahimi-Kian. 2010. “An efficient optimization approach to real-time coordinated and integrated freeway traffic control.” IEEE Trans. Intell. Transp. Syst. 11 (4): 873–884. https://doi.org/10.1109/TITS.2010.2055857.
Gomes, G., and R. Horowitz. 2006. “Optimal freeway ramp metering using the asymmetric cell transmission model.” Transp. Res. Part C: Emerging Technol. 14 (4): 244–262. https://doi.org/10.1016/j.trc.2006.08.001.
Gurobi Optimization. 2020. Gurobi optimizer reference manual, Version 9. Beaverton, OR: Gurobi Optimization.
Head, L., and P. Mirchandani. 1997. RHODES-ITMS. Phoenix: Arizona DOT Phoenix.
Hegyi, A., B. De Schutter, and H. Hellendoorn. 2005. “Model predictive control for optimal coordination of ramp metering and variable speed limits.” Transp. Res. Part C: Emerging Technol. 13 (3): 185–209. https://doi.org/10.1016/j.trc.2004.08.001.
Jacobson, L. N., K. C. Henry, and O. Mehyar. 1989. “Real-time metering algorithm for centralized control.” Transp. Res. Rec. 1232 (1): 17–26.
Karimi, A., A. Hegyi, B. De Schutter, H. Hellendoorn, and F. Middelham. 2004. “Integration of dynamic route guidance and freeway ramp metering using model predictive control.” In Proc., 2004 American Control Conf. (ACC 2004), 5533–5538.
Kotsialos, A., M. Papageorgiou, M. Mangeas, and H. Haj-Salem. 2002. “Coordinated and integrated control of motorway networks via non-linear optimal control.” Transp. Res. Part C: Emerging Technol. 10 (1): 65–84. https://doi.org/10.1016/S0968-090X(01)00005-5.
Li, Z., G. L. Chang, and S. Natarajan. 2009. “An integrated off-ramp control model for freeway traffic management.” In Proc., 15th World Congress on Intelligent Transportation Systems. Washington, DC: ITS America.
Li, Z., P. Liu, C. Xu, H. Duan, and W. Wang. 2017. “Reinforcement learning-based variable speed limit control strategy to reduce traffic congestion at freeway recurrent bottlenecks.” IEEE Trans. Intell. Transp. Syst. 18 (11): 3204–3217. https://doi.org/10.1109/TITS.2017.2687620.
Lim, K., J. H. Kim, E. Shin, and D. G. Kim. 2011. “A signal control model integrating arterial intersections and freeway off-ramps.” KSCE J. Civ. Eng. 15 (2): 385–394. https://doi.org/10.1007/s12205-011-0880-y.
Liu, Y., G. L. Chang, and J. Yu. 2011. “An integrated control model for freeway corridor under nonrecurrent congestion.” IEEE Trans. Veh. Technol. 60 (4): 1404–1418. https://doi.org/10.1109/TVT.2011.2115264.
Lu, Y., X. Yang, and G. L. Chang. 2014. “Algorithm for detector-error screening on basis of temporal and spatial information.” Transp. Res. Rec. 2443 (1): 40–48. https://doi.org/10.3141/2443-05.
Masher, D. P., D. W. Ross, P. J. Wong, P. L. Tuan, H. M. Zeidler, and S. Petracek. 1975. Guidelines for design and operation of ramp control systems. Menlo Park, CA: Stanford Research Institute.
Papageorgiou, M., H. Hadj-Salem, and J. M. Blosseville. 1991. “ALINEA: A local feedback control law for on-ramp metering.” Transp. Res. Rec. 1320 (1): 58–67.
Papageorgiou, M., H. Hadj-Salem, and F. Middelham. 1997. “ALINEA local ramp metering: Summary of field results.” Transp. Res. Rec. 1603 (1): 90–98. https://doi.org/10.3141/1603-12.
Papamichail, I., A. Kotsialos, I. Margonis, and M. Papageorgiou. 2010a. “Coordinated ramp metering for freeway networks—A model-predictive hierarchical control approach.” Transp. Res. Part C: Emerging Technol. 18 (3): 311–331. https://doi.org/10.1016/j.trc.2008.11.002.
Papamichail, I., M. Papageorgiou, V. Vong, and J. Gaffney. 2010b. “Heuristic ramp-metering coordination strategy implemented at Monash freeway, Australia.” Transp. Res. Rec. 2178 (1): 10–20. https://doi.org/10.3141/2178-02.
Pasquale, C., S. Sacone, S. Siri, and B. De Schutter. 2017. “A multi-class model-based control scheme for reducing congestion and emissions in freeway networks by combining ramp metering and route guidance.” Transp. Res. Part C: Emerging Technol. 80 (Jul): 384–408. https://doi.org/10.1016/j.trc.2017.04.007.
Planung Transport Verkehr. 2018. PTV VISSIM 10 user manual. Karlsruhe, Germany: Planung Transport Verkehr.
Pranevičius, H., and T. Kraujalis. 2012. “Knowledge based traffic signal control model for signalized intersection.” Transport 27 (3): 263–267. https://doi.org/10.3846/16484142.2012.719545.
Schrank, D., L. Albert, B. Eisele, and T. Lomax. 2021. 2021 urban mobility report. Dallas: Texas A&M Transportation Institute.
Smaragdis, E., and M. Papageorgiou. 2003. “Series of new local ramp metering strategies: Emmanouil smaragdis and markos papageorgiou.” Transp. Res. Rec. 1856 (1): 74–86. https://doi.org/10.3141/1856-08.
Smaragdis, E., M. Papageorgiou, and E. Kosmatopoulos. 2004. “A flow-maximizing adaptive local ramp metering strategy.” Transp. Res. Part B: Methodol. 38 (3): 251–270. https://doi.org/10.1016/S0191-2615(03)00012-2.
Tian, Z. 2007. “Modeling and implementation of an integrated ramp metering-diamond interchange control system.” J. Transp. Syst. Eng. Inf. Technol. 7 (1): 61–69. https://doi.org/10.1016/S1570-6672(07)60008-7.
Tian, Z., C. Messer, K. Balke, and T. Urbanik. 2005. “Integration of diamond interchange and ramp metering operations.” Transp. Res. Rec. 1925 (1): 100–111. https://doi.org/10.1177/0361198105192500111.
Wang, S., J. Xu, and Q. Luo. 2012. “Study on on-ramp control strategy of urban freeway based on fuzzy control.” In Proc., 10th World Congress on Intelligent Control and Automation, 2512–2516. New York: IEEE.
Wang, Y., and M. Papageorgiou. 2006. “Local ramp metering in the case of distant downstream bottlenecks.” In Proc., IEEE Intelligent Transportation System Conf., 426–431. New York: IEEE.
Yang, X., Y. Cheng, and G. L. Chang. 2018. “Integration of adaptive signal control and freeway off-ramp priority control for commuting corridors.” Transp. Res. Part C: Emerging Technol. 86 (Jun): 328–345. https://doi.org/10.1016/j.trc.2017.11.019.
Yang, X., Y. Lu, and G. L. Chang. 2014. “Dynamic signal priority control strategy to mitigate off-ramp queue spillback to freeway mainline segment.” Transp. Res. Rec. 2438 (1): 1–11. https://doi.org/10.3141/2438-01.
Zhang, H. M., and S. G. Ritchie. 1997. “Freeway ramp metering using artificial neural networks.” Transp. Res. Part C: Emerging Technol. 5 (5): 273–286. https://doi.org/10.1016/S0968-090X(97)00019-3.
Zhao, D., X. Bai, F. Y. Wang, J. Xu, and W. Yu. 2011. “DHP method for ramp metering of freeway traffic.” IEEE Trans. Intell. Transp. Syst. 12 (4): 990–999. https://doi.org/10.1109/TITS.2011.2122257.
Zhao, J., and Y. Liu. 2016. “Integrated signal optimization and non-traditional lane assignment for urban freeway off-ramp congestion mitigation.” Transp. Res. Part C: Emerging Technol. 73 (Feb): 219–238. https://doi.org/10.1016/j.trc.2016.11.003.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 149Issue 4April 2023

History

Received: May 2, 2022
Accepted: Dec 7, 2022
Published online: Feb 1, 2023
Published in print: Apr 1, 2023
Discussion open until: Jul 1, 2023

Permissions

Request permissions for this article.

Authors

Affiliations

Assistant Professor, Dept. of Transportation and Logistics Management, National Yang Ming Chiao Tung Univ., Hsinchu City 300, Taiwan. ORCID: https://orcid.org/0000-0003-0316-0694
Faculty Assistant, Dept. of Civil and Environmental Engineering, Univ. of Maryland, College Park, MD 20740 (corresponding author). ORCID: https://orcid.org/0000-0002-0513-0272. Email: [email protected]; [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.

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