Resilience-Based Adaptive Traffic Signal Strategy against Disruption at Single Intersection
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 148, Issue 5
Abstract
Following major hazards and incidents, it is crucial to mitigate the congestion at intersections of urban traffic systems with disruptions; maximize the evacuation, rescue, and recovery efficiency; and prevent a hazard from turning into a disaster. An optimized traffic signal design strategy can effectively contribute to maintaining an efficient traffic system operation despite various disruptions. Most of the existing studies focused on static and generic congestion scenarios during the recovery stage, rather than realistic time-progressive scenarios covering the whole process following a disruption. An adaptive traffic signal control strategy in response to traffic disruptions at a single intersection is proposed by covering both the incident and recovery stages. Dynamic phase selection (DPS) technology is applied to adjust the traffic signal control plan adaptively during the incident stage, while the queue length dissipation (QLD) algorithm is adopted to carry out optimal green time calculation during the recovery stage. The proposed methodology is demonstrated by considering disruptions caused by several typical vehicle crashes at intersections. The proposed DPS+QLD traffic signal strategy is found to improve the resiliency of a typical intersection against disruptions by clearing queues faster, reducing overall traffic loss time, and maintaining stable mobility with superior performance over conventional fixed and actuated traffic signal plans.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Intersection modeling information is from the City of Fort Collins (see https://www.fcgov.com/traffic/traffic-count-disclaimer). SUMO is an open-source traffic simulation software that is free to access from: https://sumo.dlr.de/docs/index.html. 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 work presented in this paper was conducted with support from the Mountain-Plains Consortium, a University Transportation Center funded by the US Department of Transportation and the US Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE). The specific organization overseeing this report is the Vehicle Technologies Office under Award No. DE-EE0008468. The contents of this paper reflect the views of the authors, who are responsible for the facts and accuracy of the information presented. The authors would also like to acknowledge the traffic operation unit of the City of Fort Collins for providing the traffic data used in this study.
References
Aelik, R. 1995. “Extension of the Highway capacity manual progression factor method for platooned arrivals. Vermont South, Australia: ARRB Transport Research.
Akçelik, R., and N. M. Rouphail. 1994. “Overflow queues and delays with random and platooned arrivals at signalized intersections.” J. Adv. Transp. 28 (3): 227–251. https://doi.org/10.1002/atr.5670280305.
Andronov, R., and E. Leverents. 2018. “Calculation of vehicle delay at signal-controlled intersections with adaptive traffic control algorithm.” In Vol. 143 of Proc., MATEC Web of Conf., 04008. Les Ulis, France: EDP Sciences. https://doi.org/10.1051/matecconf/201814304008.
Chang, T., and J. Lin. 2000. “Optimal signal timing for an oversaturated intersection.” Transp. Res. Part B: Methodol. 34 (6): 471–491. https://doi.org/10.1016/S0191-2615(99)00034-X.
Cowan, R. 1978. “An improved model for signalized intersections with vehicle-actuated control.” J. Appl. Probab. 15 (2): 384–396. https://doi.org/10.2307/3213409.
Eom, M., and B.-I. Kim. 2020. “The traffic signal control problem for intersections: A review.” Eur. Transp. Res. Rev. 12 (1): 50. https://doi.org/10.1186/s12544-020-00440-8.
Fei, W.-P., G.-H. Song, F. Zhang, Y. Gao, and L. Yu. 2017. “Practical approach to determining traffic congestion propagation boundary due to traffic incidents.” J. Central South Univ. 24 (2): 413–422. https://doi.org/10.1007/s11771-017-3443-7.
Gartner, N. H., C. Stamatiadis, and P. J. Tarnoff. 1995. “Development of advanced traffic signal control strategies for intelligent transportation systems: Multilevel design.” Transp. Res. Rec. 1494: 98–105.
Han, E., H. Lee, S. Park, J. So, and I. Yun. 2019. “Optimal signal control algorithm for signalized intersections under a V2I communication environment.” J. Adv. Transp. 2019: 1. https://doi.org/10.1155/2019/6039741.
He, Y. Q., Y. L. Rong, Z. P. Liu, and S. P. Du. 2019. “Traffic influence degree of urban traffic accident based on speed ratio.” J. Highway Transp. Res. Dev. 13 (3): 96–102. https://doi.org/10.1061/JHTRCQ.0000696.
Lopez, P. A., E. Wiessner, M. Behrisch, L. Bieker-Walz, J. Erdmann, Y. Flotterod, R. Hilbrich, L. Lucken, J. Rummel, and P. Wagner. 2018. “Microscopic traffic simulation using SUMO.” In Proc., 2018 21st Int. Conf. on Intelligent Transportation Systems (ITSC), 2575–2582. New York: IEEE. https://doi.org/10.1109/itsc.2018.8569938.
Pandit, K., D. Ghosal, H. M. Zhang, and C. Chuah. 2013. “Adaptive traffic signal control with vehicular Ad hoc networks.” IEEE Trans. Veh. Technol. 62 (4): 1459–1471. https://doi.org/10.1109/TVT.2013.2241460.
Sheikh, M. S., J. Liang, and W. Wang. 2020. “An improved automatic traffic incident detection technique using a vehicle to infrastructure communication.” J. Adv. Transp. 2020: 1–14. https://doi.org/10.1155/2020/9139074.
Sheikh, M. S., J. Wang, and A. Regan. 2021. “A game theory-based controller approach for identifying incidents caused by aberrant lane changing behavior.” Physica A 580 (Oct): 126162. https://doi.org/10.1016/j.physa.2021.126162.
Wang, J., J. Hang, and X. Zhou. 2020. “Signal timing optimization model for intersections in traffic incidents.” J. Adv. Transp. 2020: 1–9. https://doi.org/10.1155/2020/1081365.
Zou, Q., and S. Chen. 2019. “Enhancing resilience of interdependent traffic-electric power system.” Reliability Eng. Syst. Saf. 191: 106557. https://doi.org/10.1016/j.ress.2019.106557.
Zubillaga, D., G. Cruz, L. Aguilar, J. Zapotécatl, N. Fernández, J. Aguilar, D. Rosenblueth, and C. Gershenson. 2014. “Measuring the complexity of self-organizing traffic lights.” Entropy (Basel) 16 (5): 2384–2407. https://doi.org/10.3390/e16052384.
Information & Authors
Information
Published In
Journal of Transportation Engineering, Part A: Systems
Volume 148 • Issue 5 • May 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: May 18, 2021
Accepted: Jan 6, 2022
Published online: Feb 28, 2022
Published in print: May 1, 2022
Discussion open until: Jul 28, 2022
Authors
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
- Nazanin Zare, Elżbieta Macioszek, Anna Granà, Tullio Giuffrè, Blending Efficiency and Resilience in the Performance Assessment of Urban Intersections: A Novel Heuristic Informed by Literature Review, Sustainability, 10.3390/su16062450, 16, 6, (2450), (2024).
- Nazanin Zare, Elżbieta Macioszek, Anna Granà, A Heuristic Approach to Assess the Performance Efficiency of Road Intersections in Urban Environments from the Resilience Perspective, Road Traffic Analysis, Theoretical Approaches and Practical Solutions, 10.1007/978-3-031-51449-4_3, (27-41), (2024).
- Tanzina Afrin, Lucy G. Aragon, Zhibin Lin, Nita Yodo, An Integrated Data-Driven Predictive Resilience Framework for Disaster Evacuation Traffic Management, Applied Sciences, 10.3390/app13116850, 13, 11, (6850), (2023).
- Kaisen Yao, Suren Chen, Percolation-Based Resilience Modeling and Active Intervention of Disrupted Urban Traffic Network during a Snowstorm, Journal of Transportation Engineering, Part A: Systems, 10.1061/JTEPBS.TEENG-7364, 149, 5, (2023).
- Kancharla K. K. Chandan, Álvaro J. M. Seco, Ana M. C. Bastos Silva, Real-Time Incident-Responsive Signal Control Strategy under Partially Connected Vehicle Environment, Journal of Advanced Transportation, 10.1155/2022/8970695, 2022, (1-16), (2022).