Multiagent Control Approach with Multiple Traffic Signal Priority and Coordination
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 149, Issue 1
Abstract
In this paper, a multiagent-based control method is proposed to design a transit signal priority (TSP) scheme at urban traffic networks. One agent controls an intersection. Coordination among different intersection agents is deployed to guarantee the benefits from TSP at upstream intersections. At one intersection there are usually many bus routes, and thus multiple TSP requests and coordination requests can occur at one phase simultaneously. Therefore, the proposed method also aims at resolving conflicting TSP or coordination requests. A multilevel fuzzy controller consisting of a transit signal priority controller, Green Time Adjustment Controller 1, fuzzy negotiation controller, and Green Time Adjustment Controller 2 is then introduced to realize these objectives. Following that, fuzzy inference decisions and algorithms are provided for describing the control process of the proposed multiagent method. An urban traffic network with 25 intersections is selected to conduct a case study to evaluate the proposed method by comparison and sensitivity analysis. The proposed method performed better than the other three methods under different scenarios in accordance with the simulation results.
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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
This research was financially supported by the Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Opening Fund under Grant ZDSYS202216.
References
Abdulsattar, H., A. Mostafizi, M. R. Siam, and H. Wang. 2020. “Measuring the impacts of connected vehicles on travel time reliability in a work zone environment: An agent-based approach.” J. Intell. Transp. Syst. 24 (5): 421–436. https://doi.org/10.1080/15472450.2019.1573351.
Bi, Y. R., X. B. Lu, Z. Sun, D. Srinivasan, and Z. X. Sun. 2018. “Optimal type-2 fuzzy system for arterial traffic signal control.” IEEE Trans. Intell. Transp. Syst. 19 (9): 3009–3027. https://doi.org/10.1109/TITS.2017.2762085.
Christofa, E., I. Papamichail, and A. Skabardonis. 2013. “Person-based traffic responsive signal control optimization.” IEEE Trans. Intell. Transp. Syst. 14 (3): 1278–1289. https://doi.org/10.1109/TITS.2013.2259623.
Christofa, E., and A. Skabardonis. 2011. “Traffic signal optimization with application of transit signal priority to an isolated intersection.” Transp. Res. Rec. 2259 (1): 192–201. https://doi.org/10.3141/2259-18.
Diab, E. I., M. G. Badami, and A. M. El-Geneidy. 2015. “Bus transit service reliability and improvement strategies: Integrating the perspectives of passengers and transit agencies in North America.” Transport Rev. 35 (3): 292–328. https://doi.org/10.1080/01441647.2015.1005034.
Dion, F., H. Rakha, and Y. Zhang. 2004. “Evaluation of potential transit signal priority benefits along a fixed-time signalized arterial.” J. Transp. Eng. 130 (3): 294–303. https://doi.org/10.1061/(ASCE)0733-947X(2004)130:3(294).
Garrow, M., and R. Machemehl. 1998. “Development and evaluation of transit signal priority strategies.” J. Public Transp. 2 (2): 65–90. https://doi.org/10.5038/2375-0901.2.2.4.
Guo, Y., C. Zhang, C. Wu, and S. F. Lu. 2021. “Multiagent system–based near-real-time trajectory and microscopic timetable optimization for rail transit network.” J. Transp. Eng. Part A: Syst. 147 (2): 04020153. https://doi.org/10.1061/JTEPBS.0000473.
He, Q., L. Head, and J. Ding. 2012. “PAMSCOD: Platoon-based arterial multi-modal signal control with online data.” Transp. Res. Part C Emerging Technol. 20 (1): 164–184. https://doi.org/10.1016/j.trc.2011.05.007.
He, Q., L. Head, and J. Ding. 2014. “Multi-modal traffic signal control with priority, signal actuation and coordination.” Transp. Res. Part C Emerging Technol. 46 (Jan): 65–82. https://doi.org/10.1016/j.trc.2014.05.001.
Head, L., D. Gettman, and Z. P. Wei. 2006. “Decision model for priority control of traffic signals.” Transp. Res. Rec. 1978 (1): 169–177. https://doi.org/10.1177/0361198106197800121.
Hu, J., B. B. Park, and Y. J. Lee. 2016. “Transit signal priority accommodating conflicting requests under connected vehicles technology.” Transp. Res. Part C Emerging Technol. 69 (Jan): 173–192. https://doi.org/10.1016/j.trc.2016.06.001.
Kim, S., M. Park, and K. S. Chon. 2012. “Bus signal priority strategies for multi-directional bus routes.” KSCE J. Civ. Eng. 16 (5): 855–861. https://doi.org/10.1007/s12205-012-1507-7.
Koehler, L. A., L. O. Seman, W. Kraus, and E. Camponogara. 2019. “Real-time integrated holding and priority control strategy for transit systems.” IEEE Trans. Intell. Transp. Syst. 20 (9): 3459–3469. https://doi.org/10.1109/TITS.2018.2876868.
Ling, K., and A. Shalaby. 2004. “Automated transit headway control via adaptive signal priority.” J. Adv. Transp. 38 (1): 45–67. https://doi.org/10.1002/atr.5670380105.
Long, K. J., J. J. Wei, J. Gu, and X. G. Yang. 2020. “Headway-based multi-route transit signal priority at isolated intersection.” IEEE Access 8 (4): 187824–187831. https://doi.org/10.1109/ACCESS.2020.3030686.
Ma, W. J., and Y. Bai. 2007. “Serve sequence optimization approach for multiple bus priority requests based on decision tree.” In Proc., 7th Int. Conf. of Chinese Transportation Professionals Congress, 605–615. Reston, VA: ASCE.
Ma, W. J., Y. Liu, and X. G. Yang. 2013. “A dynamic programming approach for optimal signal priority control upon multiple high-frequency bus requests.” J. Intell. Transp. Syst. 17 (4): 282–293. https://doi.org/10.1080/15472450.2012.729380.
PTV Corporation. 2015. VISSIM 8.0 user manual. Karlsruhe, Germany: PTV Planung Transport Verkehr AG.
Rahman, S. M., and N. T. Ratrout. 2009. “Review of the fuzzy logic based approach in traffic signal control: Prospects in Saudi Arabia.” J. Transp. Syst. Eng. Inf. Technol. 9 (5): 58–70. https://doi.org/10.1016/S1570-6672(08)60080-X.
Song, X. M., M. L. Yuan, D. Liang, and L. Ma. 2018. “Optimization method for transit signal priority considering multirequest under connected vehicle environment.” J. Adv. Transp. 2018 (1): 7498594. https://doi.org/10.1155/2018/7498594.
Talukder, M. A. S., A. D. Lidbe, E. G. Tedla, and A. M. Hainen. 2021. “Trajectory-based signal control in mixed connected vehicle environments.” J. Transp. Eng. Part A: Syst. 147 (5): 04021016. https://doi.org/10.1061/JTEPBS.0000510.
Thodi, B. T., B. R. Chilukuri, and L. Vanajakshi. 2022. “An analytical approach to real-time bus signal priority system for isolated intersections.” J. Intell. Transp. Syst. 26 (2): 145–167. https://doi.org/10.1080/15472450.2020.1797504.
Wang, P., P. Li, and F. R. Chowdhury. 2022. “Development of an adaptive traffic signal control framework for urban signalized interchanges based on infrastructure detectors and CAV technologies.” J. Transp. Eng. Part A: Syst. 148 (4): 04022004. https://doi.org/10.1061/JTEPBS.0000648.
Webster, F. V. 1957. Traffic signal settings. Crowthorne, UK: Road Research Laboratory.
Wu, S. Y., T. Brown, T. V. Orosz, E. B. Beaton, and D. Tyson. 2014. “An agent-based transit signal priority simulation model using bus health data (WIP).” In Proc., 2014 Summer Simulation Multiconference, 1–6. San Diego: Society for Computer Simulation International.
Xu, M. T., J. L. Chai, Y. D. Yan, and X. B. Qu. 2022. “Multi-agent fuzzy-based transit signal priority control for traffic network considering conflicting priority requests.” IEEE Trans. Intell. Transp. Syst. 23 (2): 1554–1564. https://doi.org/10.1109/TITS.2020.3045122.
Xu, M. T., Z. R. Ye, H. Q. Sun, and W. Wang. 2016. “Optimization model for transit signal priority under conflicting priority requests.” Transp. Res. Rec. 2539 (1): 140–148. https://doi.org/10.3141/2539-16.
Ye, Z. R., and M. T. Xu. 2017. “Decision model for resolving conflicting transit signal priority requests.” IEEE Trans. Intell. Transp. Syst. 18 (1): 59–68. https://doi.org/10.1109/TITS.2016.2556000.
Zeng, X., Y. Zhang, J. Jiao, and K. Yin. 2020. “Route-based transit signal priority using connected vehicle technology to promote bus schedule adherence.” IEEE Trans. Intell. Transp. Syst. 22 (2): 1174–1184. https://doi.org/10.1109/TITS.2020.2963839.
Zlatkovic, M., P. T. Martin, and I. Tasic. 2015. “Implementation of transit signal priority and predictive priority strategies in ASC/3 software-in-the-loop simulation.” In Advances in artificial transportation systems and simulation. Salt Lake City: Academic Press.
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Information
Published In
Journal of Transportation Engineering, Part A: Systems
Volume 149 • Issue 1 • January 2023
Copyright
© 2022 American Society of Civil Engineers.
History
Received: May 4, 2022
Accepted: Sep 9, 2022
Published online: Nov 2, 2022
Published in print: Jan 1, 2023
Discussion open until: Apr 2, 2023
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