A Novel Approach to Modular Control of Highway and Arterial Networks using Petri Nets Modeling

Document Type : Original Article

Authors

1 Control Engineering, ECE Faculty, Semnan University, Semnan, Iran

2 School of Electrical and Computer Engineering, University College of Engineering, University of Tehran, Tehran, Iran

Abstract

In this paper, integrated control of highways and intersections is investigated. A modular Petri-Net-based framework is implemented to model the traffic flow of highway and arterial traffic network systems. In this framework, arterial intersection traffic lights are modeled by Timed Petri Nets (TPN). The timing of traffic lights and variable speed limits on the highway is managed to be optimized using an intelligent algorithm. This algorithm provides a trade-off between the length of the queue of vehicles on the highway and the entrance ramp and the length of the queue at the intersection after each time cycle. The performance of the optimized traffic controller and the fixed control were compared. The simulation results verify that the use of optimization methods to manage the timing of traffic lights in intersections and speed limitation in highways can considerably improve traffic flow in special conditions such as rainy weather and accidents. Additionally, this method can considerably enhance traffic flow in normal hours, while in rush hours and midnight, such improvement is negligible.

Keywords

Main Subjects


  1. Hafram, S.M., Valery, S. and Hasim, A.H., "Calibrating and validation microscopic traffic simulation models vissim for enhanced highway capacity planning", International Journal of Engineering, Transactions B: Applications, Vol. 36, No. 8, (2023), 1509-1519. doi: 10.5829/IJE.2023.36.08B.11
  2. Skovajsa, J., Přibyl, O., Přibyl, P., Ščerba, M. and Janota, A., "Evaluation of a mobile highway management system at roadwork zones", International Journal of Engineering, Transactions B: Applications, Vol. 35, No. 5, (2022), 900-907. https://doi.org/10.5829/IJE.2022.35.05B.06
  3. Di Febbraro, A., Giglio, D. and Sacco, N., "Urban traffic control structure based on hybrid petri nets", IEEE Transactions on Intelligent Transportation Systems, Vol. 5, No. 4, (2004), 224-237. https://doi.org/10.1109/TITS.2004.838180
  4. Papageorgiou, M., Hadj-Salem, H. and Middelham, F., "Alinea local ramp metering: Summary of field results", Transportation Research Record, Vol. 1603, No. 1, (1997), 90-98. https://doi.org/10.3141/1603-12
  5. Taheri, M., Arkat, J., Farughi, H. and Pirayesh, M., "Modeling the traffic signal control system at an isolated intersection using queuing systems", International Journal of Engineering, Transactions C: Aspects, Vol. 34, No. 9, (2021), 2077-2086. https://doi.org/10.5829/IJE.2021.34.09C.05
  6. Keyvan-Ekbatani, M., Papageorgiou, M. and Knoop, V.L., "Controller design for gating traffic control in presence of time-delay in urban road networks", Transportation Research Procedia, Vol. 7, (2015), 651-668. https://doi.org/10.1016/j.trpro.2015.06.034
  7. Mohammadi, M., Dideban, A., Lesani, A. and Moshiri, B., "An implementation of the ai-based traffic flow prediction in the resilience control scheme", International Journal of Transportation Engineering, Vol. 8, No. 2, (2020), 185-198. https://doi.org/10.22119/ijte.2020.218863.1509
  8. Fu, H. and Chen, K., "Macroscopic traffic modeling of heterogeneous road networks using coloured petri nets", in 2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC), IEEE. (2018), 1-6. https://doi.org/10.1109/ICNSC.2018.8361304
  9. Huang, Y.-S., Weng, Y.-S. and Zhou, M., "Modular design of urban traffic-light control systems based on synchronized timed petri nets", IEEE Transactions on Intelligent Transportation Systems, Vol. 15, No. 2, (2013), 530-539. https://doi.org/10.1109/TITS.2013.2283034
  10. Dotoli, M. and Fanti, M.P., "An urban traffic network model via coloured timed petri nets", Control Engineering Practice, Vol. 14, No. 10, (2006), 1213-1229. https://doi.org/10.1016/j.conengprac.2006.02.005
  11. Qi, L., Zhou, M. and Luan, W., "A two-level traffic light control strategy for preventing incident-based urban traffic congestion", IEEE Transactions on Intelligent Transportation Systems, Vol. 19, No. 1, (2016), 13-24. https://doi.org/10.1109/TITS.2016.2625324
  12. Fu, H., Chen, S., Chen, K., Kouvelas, A. and Geroliminis, N., "Perimeter control and route guidance of multi-region mfd systems with boundary queues using colored petri nets", IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No. 8, (2021), 12977-12999. https://doi.org/10.1109/TITS.2021.3119017
  13. Bargegol, I., Najafi Moghaddam Gilani, V. and Jamshidpour, F., "Relationship between pedestrians’ speed, density and flow rate of crossings through urban intersections (case study: Rasht metropolis)(research note)", International Journal of Engineering, Transactions C: Aspects, Vol. 30, No. 12, (2017), 1814-1821. doi: 10.5829/ije.2017.30.12c.01
  14. Srivastava, S. and Sahana, S.K., "Nested hybrid evolutionary model for traffic signal optimization", Applied Intelligence, Vol. 46, No. 1, (2017), 113-123. https://doi.org/10.1007/s10489-016-0827-6
  15. Luo, J., Huang, Y.-S. and Weng, Y.-S., "Design of variable traffic light control systems for preventing two-way grid network traffic jams using timed petri nets", IEEE Transactions on Intelligent Transportation Systems, Vol. 21, No. 7, (2019), 3117-3127. https://doi.org/10.1109/TITS.2019.2925824
  16. Perez-Murueta, P., Gómez-Espinosa, A., Cardenas, C. and Gonzalez-Mendoza Jr, M., "Deep learning system for vehicular re-routing and congestion avoidance", Applied Sciences, Vol. 9, No. 13, (2019), 2717. https://doi.org/10.3390/app9132717
  17. Mercan, M.C., Kayalica, M.Ö., Kayakutlu, G. and Ercan, S., "Economic model for an electric vehicle charging station with v ehicle‐to‐grid functionality", International Journal of Energy Research, Vol. 44, No. 8, (2020), 6697-6708. https://doi.org/10.1002/er.5407
  18. Novikov, A., Novikov, I. and Shevtsova, A., "Modeling of traffic-light signalization depending on the quality of traffic flow in the city", Journal of Applied Engineering Science, Vol. 17, No. 2, (2019), 175-181. https://doi.org/10.5937/jaes17-18117
  19. Tolba, C., Lefebvre, D., Thomas, P. and El Moudni, A., "Continuous petri nets models for the analysis of traffic urban networks", in 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat. No. 01CH37236), IEEE. Vol. 2, (2001), 1323-1328. https://doi.org/10.1109/ICSMC.2001.973104