Article

Received 31.03.2025

Revised 03.09.2025

Accepted 30.09.2025

Retrieved from Iss. 118, P. 1, 2025

Pages 48 -55

Hulchak, O., Popov, S., & Korchevska, A. (2025). INTERACTION OF VEHICLES AT A SIGNALIZED INTERSECTION WHEN THE GREEN LIGHT IS ACTIVATED. Automobile Roads and Road Construction, (118.1), 48-55. https://doi.org/10.33744/0365-8171-2025-118.1-048-055

INTERACTION OF VEHICLES AT A SIGNALIZED INTERSECTION WHEN THE GREEN LIGHT IS ACTIVATED

Oksana Hulchak Stanislav Popov Alina Korchevska

The organization and efficiency of traffic signal control at intersections are key factors influencing the capacity and congestion levels of the urban road network. Improper traffic signal operations can cause additional delays, reduce traffic flow efficiency, and increase the risk of accidents. The relevance of this study lies in examining the impact of vehicle start characteristics on the dynamics of movement through signalized intersections and assessing their effect on traffic flow optimization. This paper analyzes the movement of two vehicles traveling sequentially through a signalized intersection when the green light is activated. The primary focus is on studying parameters such as the ratio of distances traveled by the vehicles, the ratio of their speeds, the start delay of the second vehicle relative to the first, and the variation of these indicators during movement. Evaluating the interrelation of these parameters
allows for assessing the optimality of traffic flow and its safety level. The described characteristics are essential for analyzing movement conditions both at the intersection and on the approach to it. Identifying patterns between speed ratios, distances, and start delays enables the assessment of the impact of traffic signal control on movement dynamics. In turn, this provides an opportunity to propose optimal parameters to improve the intersection’s capacity and reduce road network congestion. The findings of this study can be used to enhance traffic modeling and develop adaptive traffic management algorithms. Optimizing vehicle start parameters will contribute to improving the overall efficiency of the road network, reducing delays, and increasing safety levels at intersections. The proposed approach can be applied in urban planning and for the development of intelligent transportation systems that ensure efficient traffic flow management

traffic signal control, signalized intersection, vehicle dynamics, start delay, speed ratio, traffic flow optimization, road network congestion, adaptive traffic management, intelligent transportation systems, intersection performance, intersection performance, vehicle interaction
  1. Polishuk, V., Popov, S., Vyhovska, I., Yanishevskiy, S., & Nahrebelna, L. (2024). Energy-based approach to the assessment of traffic flow. Transport Technologies, 5(2). doi: 10.23939/tt2024.02.023.
  2. Boikiv, M.V., & Zherebetskyi, N.V. (2024). Study of traffic conditions at intersection with a heavy traffic flow in the main direction. Scientific Notes of Vernadsky TNU, 35(6). doi: 10.32782/2663-5941/2024.6.2/35.
  3. Polishchuk, V.P., Nahrebelna, L.P., Vyhovska, I.A., & Popov, S.Y. (2024). Applying energy principles to the assessment of road traffic safety. Journal of Transport Systems and Traffic Safety, 1(58), 133-141. doi: 10.33744/2308-6645-2024-1-58-133-141.
  4. Vieira, M., Galvão, G., Vieira, M., Louro, P., Véstias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Visible light communication and learning-based control for traffic signal optimization and vehicle management. Symmetry, 16. doi: 10.3390/sym16020240.
  5. Vieira, M., Vieira, M., Galvão, G.M., Louro, P., Véstias, M.P., & Vieira, P. (2024). Enhancing urban intersection efficiency: Utilizing visible light communication and learning-driven control for improved traffic signal performance. Vehicles, 6(2), 666-692. doi: 10.3390/vehicles6020031
  6. Simões, M., Milheiro-Oliveira, P., & Costa, A.P. (2010). Modeling and simulation of traffic movements at semiactuated signalized intersections. Journal of Transportation EngineeringList of Issues, 136(6). doi: 10.1061/(asce)te.1943-5436.0000124.
  7. Bai, Z., Hao, P., Shangguan, W., Cai, B., & Barth, M. (2022). Hybrid reinforcement learning-based eco-driving strategy for connected and automated vehicles at signalized intersections. IEEE Transactions on Intelligent Transportation Systems, 23. doi: 10.1109/tits.2022.3145798.
  8. Aoki, S., & Rajkumar, R. (2022). Cyber traffic light: Safe cooperation for autonomous vehicles at dynamic intersections. IEEE Transactions on Intelligent Transportation Systems, 23(11), 22519-22534. doi: 10.1109/tits.2022.3146457.
  9. Wang, Z., Wu, G., & Barth, M. (2020). Cooperative eco-driving at signalized intersections in a partially connected and automated vehicle environment. IEEE Transactions on Intelligent Transportation Systems, 21. doi: 10.1109/tits.2019.2911607.
  10. Eom, M., & Kim, B. (2020). The traffic signal control problem for intersections: A review. European Transport Research Review, 12. doi: 10.1186/s12544-020-00440-8.
  11. Horbachov, P., & Liubyi, Y. (2022). Method of estimating the time required to ensure the uniform motion of vehicle platoon progression on the coordinated section of the city arterial road. Vehicle and Electronics. Innovative Technologies, 22. doi: 10.30977/VEIT.2022.22.0.2.
  12. Zhou, M., Yu, Y., & Qu, X. (2020). Development of an efficient driving strategy for connected and automated vehicles at signalized intersections: A reinforcement learning approach. IEEE Transactions on Intelligent Transportation Systems, 21(1), 433-443. doi: 10.1109/tits.2019.2942014.
  13. Wu, W., Huang, L., & Du, R. (2019). Simultaneous optimization of vehicle arrival time and signal timings within a connected vehicle environment. Italian National Conference on Sensors, 20. doi: 10.3390/s20010191.
  14. Rakha, H.A., El-Shawarby, I., & Setti, J. (2007). Characterizing driver behavior on signalized intersection approaches at the onset of a yellow-phase trigger. IEEE Transactions on Intelligent Transportation Systems, 8(4), 630-640. doi: 10.1109/tits.2007.908146.
  15. Popov, S., & Vyhovska, I. (2025). Digital control tower model for public transport city network. In O. Slavinska, V. Danchuk, O. Kunytska, & O. Hulchak (Eds.), Intelligent transport systems: Ecology, safety, quality, comfort. ITSESQC 2024 (Lecture Notes in Networks and Systems, Vol. 1335). Cham: Springer. doi: 10.1007/978-3-031-87376-8_34.
  16. Katsaros, K., Kernchen, R., Dianati, M., & Rieck, D. (2011). Performance study of a Green Light Optimized Speed Advisory (GLOSA) application using an integrated cooperative ITS simulation platform. International Wireless Communications & Mobile Computing Conference (pp. 918-923). Istanbul. doi: 10.1109/iwcmc.2011.5982524

https://doi.org/10.33744/0365-8171-2025-118.1-048-055