Decentralized arterial traffic signal optimization with connected vehicle information

References

• Beak, B., Head, K. L., & Feng, Y. (2017). Adaptive coordination based on connected vehicle technology. Transportation Research Record: Journal of the Transportation Research Board, 2619(1), 1–12. https://doi.org/10.3141/2619-01
   Google Scholar
• Cambridge Systematics. (2004). Traffic congestion and reliability: Linking solutions to problems.
   Google Scholar
• Christofa, E., Ampountolas, K., & Skabardonis, A. (2016). Arterial traffic signal optimization: A person-based approach. Transportation Research Part C: Emerging Technologies, 66, 27–47. https://doi.org/10.1016/j.trc.2015.11.009
   Google Scholar
• Christofa, E., Argote, J., & Skabardonis, A. (2013). Arterial queue spillback detection and signal control based on connected vehicle technology. Transportation Research Record. https://doi.org/10.3141/2356-08
   Google Scholar
• El-Tantawy, S., & Abdulhai, B. (2010). An agent-based learning towards decentralized and coordinated traffic signal control [Paper presentation]. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. https://doi.org/10.1109/ITSC.2010.5625066
   Google Scholar
• Feng, Y., Head, K. L., Khoshmagham, S., & Zamanipour, M. (2015). A real-time adaptive signal control in a connected vehicle environment. Transportation Research Part C: Emerging Technologies, 55, 460–473. https://doi.org/10.1016/j.trc.2015.01.007
   Google Scholar
• Feng, Y., Zamanipour, M., Head, K. L., & Khoshmagham, S. (2016). Connected vehicle-based adaptive signal control and applications. Transportation Research Record. https://doi.org/10.3141/2558-02
   Google Scholar
• Gartner, N. H., Assman, S. F., Lasaga, F., & Hou, D. L. (1991). A multi-band approach to arterial traffic signal optimization. Transportation Research Part B: Methodological, 25 (1), 55–74. https://doi.org/10.1016/0191-2615(91)90013-9
   Google Scholar
• Gartner, N. H., & Stamatiadis, C. (2002). Arterial-based control of traffic flow in urban grid networks. Mathematical and Computer Modeling, 35 (5–6), 657–671. https://doi.org/10.1016/S0895-7177(02)80027-9
   Google Scholar
• Gayah, V. V., Gao, X. (Shirley)., & Nagle, A. S. (2014). On the impacts of locally adaptive signal control on urban network stability and the macroscopic fundamental diagram. Transportation Research Part B: Methodological, 70, 255–268. https://doi.org/10.1016/j.trb.2014.09.010
   Web of Science ®Google Scholar
• Goodall, N. J., Park, B. B., & Smith, B. L. (2014a). Microscopic estimation of arterial vehicle positions in a low-penetration-rate connected vehicle environment. Journal of Transportation Engineering, 140(10), 04014047. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000716
   Google Scholar
• Goodall, N., Smith, B., & Park, B. (2014b). Traffic signal control with connected vehicles. Transportation Research Record. https://doi.org/10.3141/2381-08
   Google Scholar
• Guler, S. I., Menendez, M., & Meier, L. (2014). Using connected vehicle technology to improve the efficiency of intersections. Transportation Research Part C: Emerging Technologies, 46, 121–131. https://doi.org/10.1016/j.trc.2014.05.008
   Web of Science ®Google Scholar
• Guo, Y., Ma, J., Xiong, C., Li, X., Zhou, F., & Hao, W. (2019). Joint optimization of vehicle trajectories and intersection controllers with connected automated vehicles: Combined dynamic programming and shooting heuristic approach. Transportation Research Part C: Emerging Technologies, 98, 54–72. https://doi.org/10.1016/j.trc.2018.11.010
   Google Scholar
• He, Q., Head, K. L., & Ding, J. (2012). PAMSCOD: Platoon-based arterial multi-modal signal control with online data. Transportation Research Part C: Emerging Technologies, 20 (1), 164–184. https://doi.org/10.1016/j.trc.2011.05.007
   Google Scholar
• Hu, J., Park, B. B., & Lee, Y. J. (2015). Coordinated transit signal priority supporting transit progression under connected vehicle technology. Transportation Research Part C: Emerging Technologies, 55, 393–408. https://doi.org/10.1016/j.trc.2014.12.005
   Web of Science ®Google Scholar
• Islam, S. M. A. B., Al, Hajbabaie, A., & Aziz, H. M. A. (2020). A real-time network-level traffic signal control methodology with partial connected vehicle information. Transportation Research Part C: Emerging Technologies, 121, 102830. https://doi.org/10.1016/j.trc.2020.102830
   Web of Science ®Google Scholar
• Islam, S. M.A. B., & Hajbabaie, A. (2017). Distributed coordinated signal timing optimization in connected transportation networks. Transportation Research Part C: Emerging Technologies, 80, 272–285. https://doi.org/10.1016/j.trc.2017.04.017
   Google Scholar
• Knoblauch, R. L., Pietrucha, M. T., & Nitzburg, M. (1996). Field studies of pedestrian walking speed and start-up time. Transportation Research Record: Journal of the Transportation Research Board, 1538(1), 27–38. https://doi.org/10.3141/1538-04
   Google Scholar
• Lee, J., Park, B., (Brian)., & Yun, I. (2013). Cumulative travel-time responsive real-time intersection control algorithm in the connected vehicle environment. Journal of Transportation Engineering, 139(10), 1020–1029. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000587
   Google Scholar
• Liang, X., Gayah, V. V., & Guler, S. I. (2019a). An equitable traffic signal control scheme at signalized intersections using connected vehicle technology. Transportation Research Part C: Emerging Technologies, 110, 81–97.
   PubMed Web of Science ®Google Scholar
• Liang, X., Gayah, V. V., & Guler, S. I. (2020). Traffic signal control optimization in a connected vehicle environment considering pedestrians. Transportation Research Record, 2674 (10), 499–511.
   PubMed Web of Science ®Google Scholar
• Liang, X. X. J., Guler, S. I., & Gayah, V. V. (2019c ). A heuristic method to optimize generic signal phasing and timing plans at signalized intersections using connected vehicle technology. Transportation Research Part C: Emerging Technologies, 11, 156–170.
   PubMed Web of Science ®Google Scholar
• Liang, X., Guler, S. I., & Gayah, V. V. (2018). Signal timing optimization with connected vehicle technology: Platooning to improve computational efficiency. Transportation Research Record: Journal of the Transportation Research Board, 2672(18), 81–92. https://doi.org/10.1177/0361198118786842
   Web of Science ®Google Scholar
• Liang, X., Guler, S. I., & Gayah, V. V. (2019b). Joint optimization of signal phasing and timing and vehicle speed guidance in a connected and autonomous vehicle environment. Transportation Research Record, 2673 (4), 70–83.
   PubMed Web of Science ®Google Scholar
• Luk, J. Y. K. (1984). Two traffic-responsive area traffic control methods: Scat and scoot. Transportation Research Record: Journal of the Transportation Research Board, 25(1).
   Google Scholar
• Ma, D., Xiao, J., & Ma, X. (2021). A decentralized model predictive traffic signal control method with fixed phase sequence for urban networks. Journal of Intelligent Transportation Systems Technology Planning and Operations, 25(5), 455–468. https://doi.org/10.1080/15472450.2020.1734801
   Google Scholar
• Mehrabipour, M., & Hajbabaie, A. (2017). A cell-based distributed-coordinated approach for network-level signal timing optimization. Computer-Aided Civil and Infrastructure Engineering. https://doi.org/10.1111/mice.12272
   Google Scholar
• Mohebifard, R., Islam, S. M. A. B., Al., & Hajbabaie, A. (2019). Cooperative traffic signal and perimeter control in semi-connected urban-street networks. Transportation Research Part C: Emerging Technologies, 104, 408–427. https://doi.org/10.1016/j.trc.2019.05.023
   Web of Science ®Google Scholar
• Priemer, C., & Friedrich, B. (2009). A decentralized adaptive traffic signal control using V2I communication data [Paper presentation]. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. https://doi.org/10.1109/ITSC.2009.5309870
   Google Scholar
• Putha, R., Quadrifoglio, L., & Zechman, E. (2012). Comparing ant colony optimization and genetic algorithm approaches for solving traffic signal coordination under oversaturation conditions. Computer-Aided Civil and Infrastructure Engineering, 27(1), 14–28. https://doi.org/10.1111/j.1467-8667.2010.00715.x
   Web of Science ®Google Scholar
• Treiber, M., Hennecke, A., & Helbing, D. (2000). Congested traffic states in empirical observations and microscopic simulations. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 62(2 Pt A), 1805–1824. https://doi.org/10.1103/physreve.62.1805
   PubMed Web of Science ®Google Scholar
• Wang, P., Jiang, Y., Xiao, L., Zhao, Y., & Li, Y. (2020). A joint control model for connected vehicle platoon and arterial signal coordination. Journal of Intelligent Transportation Systems Technology Planning and Operations, 24(1), 81–92. https://doi.org/10.1080/15472450.2019.1579093
   Google Scholar
• Xia, H., Boriboonsomsin, K., Schweizer, F., Winckler, A., Zhou, K., Zhang, W. B., & Barth, M. (2012). Field operational testing of ECO-approach technology at a fixed-time signalized intersection [Paper presentation].IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. https://doi.org/10.1109/ITSC.2012.6338888
   Google Scholar
• Yang, K., Guler, S. I., & Menendez, M. (2016). Isolated intersection control for various levels of vehicle technology: Conventional, connected, and automated vehicles. Transportation Research Part C: Emerging Technologies, 72, 109–129. https://doi.org/10.1016/j.trc.2016.08.009
   Google Scholar
• Yang, K., Menendez, M., & Guler, S. I. (2019). Implementing transit signal priority in a connected vehicle environment with and without bus stops. Transportmetrica B: Transport Dynamics, 7(1), 423–445. https://doi.org/10.1080/21680566.2018.1434019
   Google Scholar
• Yao, Z., Jiang, Y., Zhao, B., Luo, X., & Peng, B. (2020). A dynamic optimization method for adaptive signal control in a connected vehicle environment. Journal of Intelligent Transportation Systems Technology Planning and Operations, 24(2), 184–200. https://doi.org/10.1080/15472450.2019.1643723
   Google Scholar
• Zeng, X., Sun, X., Zhang, Y., & Quadrifoglio, L. (2015). Person-based adaptive priority signal control with connected-vehicle information. Transportation Research Record: Journal of the Transportation Research Board, 2487(1), 78–87. https://doi.org/10.3141/2487-07
   Web of Science ®Google Scholar
• Zhang, L., Garoni, T. M., & de Gier, J. (2013). A comparative study of macroscopic fundamental diagrams of arterial road networks governed by adaptive traffic signal systems. Transportation Research Part B: Methodological, 49, 1–23. https://doi.org/10.1016/j.trb.2012.12.002
   Web of Science ®Google Scholar