Development of Coordinated Control of Vehicle Traffic Flow at Adjacent Intersection

Freddy Kurniawan, Muzammil Jusoh, Bahodir Muminov, Hermansyah Alam, Denny Dermawan, Muhamad Jalu Purnomo

Submitted : 2025-01-21, Published : 2025-02-27.

Abstract

Traffic congestion in areas with two closely situated traffic lights is a complex issue that is often difficult to resolve. To address this issue, a coordination of timing between the two traffic controllers is proposed. This research conducts an experiment with two traffic controllers at two nearby intersections. The vehicle flow at each intersection is managed by the Agent acting as the traffic controller. The agent where more vehicles arrive is designated as the master agent, while the other agent is designated as the slave agent. A coordination algorithm is developed to synchronize the timing of the traffic controller so that the timing at the slave Agent was adjusted according to vehicle platoon arrivals from the master Agent. By this method, the green phase of the slave agent can be synchronized with the master agent, allowing vehicle platoons arriving from the master agent to immediately receive a green phase at the slave agent. This coordinated traffic control can be implemented with a microcontroller-based system, and vehicle movement can be simulated using Matlab's SimEvents. From the experiment conducted for two intersections located 500 meters apart, this scheme can reduce the average vehicle wait time from 40 seconds to just 9.4 seconds.

Keywords

Coordinated traffic control; agent; vehicle platoon; vehicle wait time.

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References

Z. Lv and W. Shang, “Impacts of intelligent transportation systems on energy conservation and emission reduction of transport systems: A comprehensive review,” Green Technologies and Sustainability, vol. 1, no. 1, p. 100002, 2023. https://doi.org/10.1016/j.grets.2022.100002

M. Eom and B. I. Kim, “The traffic signal control problem for intersections: a review,” Dec. 01, 2020, Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1186/s12544-020-00440-8

R. T. Wakkumbura, B. Hettige, and A. Edirisuriya, “Real-time traffic controlling system using multi-agent technology,” Journal Europeen des Systemes Automatises, vol. 54, no. 4, pp. 633–640, 2021. https://doi.org/10.18280/jesa.540413

A. Susanty, B. Purwanggono, and V. A. Putri, “The barriers to the implementation of intelligent transportation system at Semarang City,” in Procedia Computer Science, Elsevier B.V., 2021, pp. 312–319. https://doi.org/10.1016/j.procs.2021.07.068

R. Yue, G. Yang, Y. Zheng, J. Wu, D. Lin, and Z. Tian, “Feasibility of using a single traffic signal controller to accommodate adjacent intersections,” International Journal of Transportation Science and Technology, vol. 9, no. 1, pp. 52–63, 2020. https://doi.org/10.1016/j.ijtst.2019.09.002

D. Metz, “Economic benefits of road widening: Discrepancy between outturn and forecast,” Transp Res Part A Policy Pract, vol. 147, pp. 312–319, 2021. https://doi.org/10.1016/j.tra.2021.03.023

X. Wang, D. A. Rodríguez, and A. Mahendra, “Support for market-based and command-and-control congestion relief policies in Latin American cities: Effects of mobility, environmental health, and city-level factors,” Transp Res Part A Policy Pract, vol. 146, pp. 91–108, 2021. https://doi.org/10.1016/j.tra.2020.12.004

A. Triani and B. Budiman Rusli, “Evaluasi Program ATCS (Area Traffic Control System) di Kota Bandung,” Jurnal Administrasi Negara, vol. 13, no. 1, pp. 50–61, 2021. https://doi.org/10.24198/jane.v13i1.28709

P. Devia, “Implementasi Fasilitas Intelligent Transportation System (ITS) Di Kota Palangka Raya,” Media Ilmiah Teknik Sipil, vol. 8, no. 2, pp. 72–78, 2020. https://doi.org/10.33084/mits.v8i2.1404

M. C. E. L. Chen, “Cooperative Intersection Management: A Survey,” IEEE Transactions on Intelligent Transportation Systems, vol. 17, pp. 570–586, 2016. https://doi.org/10.1109/TITS.2015.2471812

S. C. Rai, S. P. Nayak, B. Acharya, V. C. Gerogiannis, A. Kanavos, and T. Panagiotakopoulos, “ITSS: An Intelligent Traffic Signaling System Based on anIoTInfrastructure,” Electronics (Basel), vol. 12, p. 1177, 2023.

X. Zhou, R. Ke, H. Yang, and C. Liu, “When Intelligent Transportation Systems Sensing Meets Edge Computing: Vision and Challenges,” Applied Sciences, vol. 11, no. 20, p. 9680, 2021. https://doi.org/10.3390/app11209680

P. S. D. Balaji, “Multi-Agent System in Urban Traffic Signal Control,” IEEE Comput Intell Mag, vol. 5, pp. 43–51, 2010. https://doi.org/10.1109/MCI.2010.938363

A. Basuhail, M. Khemakhem, F. E. Eassa, and J. M. Qurashi, “N-Versions-Based Resilient Traffic Control Systems,” Electronics (Basel), vol. 11, p. 2414, 2022. https://doi.org/10.3390/electronics11152414

F. Gunes, S. Bayrakli, and A. H. Zaim, “Smart cities and data analytics for intelligent transportation systems: An analytical model for scheduling phases and traffic lights at signalized intersections,” Applied Sciences (Switzerland), vol. 11, no. 15, 2021. https://doi.org/10.3390/app11156816

S. Chen, C. Shang, and F. Zhu, “A Flexible Traffic Signal Coordinated Control Approach and System on Complicated Transportation Control Infrastructure,” Sensors, vol. 23, p. 5796, 2023. https://doi.org/10.3390/s23135796

S. M. A. B. Al Islam and A. Hajbabaie, “Distributed coordinated signal timing optimization in connected transportation networks,” Distributed coordinated signal timing optimization in connected transportation networks, vol. 80, pp. 272–285, 2017. http://dx.doi.org/10.1016/j.trc.2017.04.017

Z. Haoa, R. Boelb, and Z. Li, “Model based urban traffic control, part II: Coordinated model predictive controllers,” Transportation Research Part C, vol. 97, pp. 23–44, 2018. https://doi.org/10.1016/j.trc.2018.09.025

F. Kurniawan, D. Dermawan, O. Dinaryanto, and M. Irawati, “Pre-Timed and Coordinated Traffic Controller Systems Based on AVR Microcontroller,” TELKOMNIKA (Telecommunication Computing Electronics and Control), vol. 12, no. 4, p. 787, 2014. http://doi.org/10.12928/telkomnika.v12i4.497

D. Sun, A. Jamshidnejad, and B. De Schutter, “Adaptive Parameterized Control for Coordinated Traffic Management Using Reinforcement Learning,” in IFAC-PapersOnLine, Elsevier B.V., Jul. 2023, pp. 5463–5468. http://doi.org/10.1016/j.ifacol.2023.10.198

F. Kurniawan, H. Sajati, O. Dinaryanto, “Adaptive Traffic Controller Based On Pre-Timed System,” Telkomnika, vol. 14, no. 1, pp. 56–63, 2016. http://doi.org/10.12928/telkomnika.v14i1.2798

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