DOI: https://doi.org/10.32515/2664-262X.2025.11(42).1.301-312

Optimization of Urban Tram Traffic to Improve the Efficiency of the Street and Road Network

Olha Kholodova, Olena Levchenko, Maryna Buhaiova, Anastasiia Botsman

About the Authors

Olha Kholodova, Associate Professor, PhD in Technics (Candidate of Technics Sciences), Kharkiv National Automobile and Highway University, Kharkiv, Ukraine, e-mail: olgakholodova280781@gmail.com, ORCID ID: 0000-0002-4217-0548

Olena Levchenko, Senior Lecturer, Kharkiv National Automobile and Highway University, Kharkiv, Ukraine, e-mail: levchenkoelena77@gmail.com, ORCID ID: 0000-0002-0507-2965

Maryna Buhaiova, Senior Lecturer, Kharkiv National Automobile and Highway University, Kharkiv, Ukraine, e-mail: kazmar2383@gmail.com, ORCID ID: 0000-0003-1889-9555

Anastasiia Botsman, PhD student, O.M. Beketov National University of Urban Economy in Kharkiv, Україна, e-mail: botsman.nastya@gmail.com, ORCID ID: 0000-0002-0308-0339

Abstract

Traffic safety depends not only on the number of road accidents but also on the level of conflict between its participants, especially at intersections and at the junction of traffic flows. One of the key but insufficiently studied aspects is the interaction of tram transport with cars, which directly affects the capacity and safety of the road network. The article analyses the impact of various tramway schemes on the dynamics of traffic flows and accidents, considering modern traffic management methods. The study aims to determine the optimal solution that will increase the efficiency of the transport system, minimize conflicts between modes of transport, and ensure safe traffic conditions in the study area. The literature analysis shows that tram traffic research abroad includes introducing intelligent control systems, optimizing traffic lights, promoting tram priority, and using V2V and V2I technologies. In Ukraine, however, they are mostly limited to collecting statistics, while systemic changes are hardly implemented, and the dismantling of tram tracks contradicts international experience. To solve the identified problems, it is proposed that traffic lights be introduced at the intersection of Poltavskyi Shlyakh - Ozeryanska Street. The tram tracks should be moved from the carriageway to a separate track from the intersection of Poltavsky Shlyakh - Bolbochan Street to another location, either at the intersection of Poltavsky Shlyakh - Ozeryanska Street or Poltavsky Shlyakh - Kandaurova Street. The tram stop should also be relocated to a separate tram track. Additionally, a coordinated mode of operation between the new traffic light facility (Poltavsky Shlyakh - Ozeryanska Street) and the existing ones (Poltavsky Shlyakh - Kandaurova Street and Poltavsky Shlyakh - Bolbochan Street) is proposed for the ‘green wave’ mode. Traffic modeling using PTV Vissim was conducted on the section of Poltavsky Shlyakh Street from Petra Bolbochan Street to Ozeryanska Street in Kharkiv to evaluate the existing and proposed options. The modeling results indicate that relocating the tramway to a separate track at the Poltavsky Shlyakh - Ozeryanska intersection (Option 1) in Kharkiv improves traffic safety, reduces delays by 11%, and increases speed by 6%. In contrast, Option 2 (relocation to Poltavskyi Shlyakh - Kandaurova Street) worsens delays and reduces speed. Proper track placement allows smoother traffic flow by reducing conflict points. These findings can inform tram infrastructure optimization in other cities, enhancing accessibility, safety, and public transport efficiency.

Keywords

tram traffic, vehicle, street and road network, traffic management, efficiency, accident rate, safety, traffic flow, road traffic accident

Full Text:

PDF

References

1. Kliuiev, S.O., Sihonin, A.Ie., & Tsymbal S.V. (2023) Rozvytok intelektualnykh transportnykh system. VMT, vyp. 18, vyp. 2, P. 80–86. DOI: https://doi.org/10.31649/2413-4503-2023-18-2-80-86 [in Ukrainian].

2. Pravila dorozhnoho rukhu 2025: veb-sait URL: https://vodiy.ua/pdr/ [in Ukrainian].

3. Roiko, Yu.Ia. (2017) Analiz vplyvu tramvaiv na bezpeku rukhu. Visnyk Natsionalnoho universytetu "Lvivska politekhnika". Dynamika, mitsnist ta proektuvannia mashyn i pryladiv. № 866. P. 225-229. URL: http://nbuv.gov.ua/UJRN/VNULPDM_2017_866_41 [in Ukrainian].

4. Kulbashna, N.I. (2009) Zupunochnui punkt yak obekt doslidgennia robotu MET v novuh runkovuh ymovah. Electrichnui transport – prespektuvu rozvutky ta kadrove zabezpechennia:materialy мizhnarodnoyi naukovo-praktychnoyi konferentsiyi (pp.107-109). Kharkiv:KhNUMG [in Ukrainian].

5. Pavlova, I., Hrabovets, V., Dubytskyi, O., & Onyshchuk, V. (2019). Analiz roboty marshrutnoho transportu v zoni zupynochnoho punktu. Suchasni tekhnolohii v mashynobuduvanni ta transporti, 2(13), 139-145. https://doi.org/10.36910/automash.v2i13.97 [in Ukrainian].

6. Nimmi Candappa, Bruce Corben and Jeremy Yuen (2013). Addressing the Conflict Potential between Motor Vehicles and Trams at Cut-through Locations. Monash University Accident Research Centre. Report 317. 47 р.

7. Improving the future of road safety in Australia with Vehicle-to-Vehicle (V2V) communication (2022) Posted. Urban mobility, Passenger experience, Australia. 2022. URL: https://innovation.keolis.com/en/projects-news-insights/improving-the-future-of-road-safety-in-australia-with-vehicle-to-vehicle-v2v-communication/.

8. Louati, A., & Kariri, E. (2023). Enhancing Intersection Performance for Tram and Connected Vehicles through a Collaborative Optimization. Sustainability, 15(12), 9231. https://doi.org/10.3390/su15129231.

9. Mouloud Khelf, Salim Boukebbab, Neila Bhouri (2023) The Effect of Tram Management on Road Traffic Fluidity and its Influence on Drivers Behaviors at a Critical Junction in Algeria. Transport Problems = Problemy Transportu, 18 (2), pp.31-42. ff10.20858/tp.2023.18.2.03ff. ffhal-04273335f [in English].

10. da Silva, L.D., Lollini, P., Mongelli, D. et al. (2021) A stochastic modeling approach for traffic analysis of a tramway system with virtual tags and local positioning. J Braz Comput Soc 27, 2. doi.org/10.1186/s13173-021-00105-x.

11. Zhao, X, Li, Y, Xu, S, & Zhai, H. (2018) Modeling a modern tram system integrated with a road traffic simulation. SIMULATION. 94(1):77-90. doi:10.1177/0037549717734420 [in English].

12. Jeremi Rychlewski (2004). Modelling of tram traffic quality. European Congress on Computational Methods in Applied Sciences and Engineering. URL: www.researchgate.net/publication/290698427_Modelling_of_tram_traffic_quality.

13. Sobota, A., Żochowska, R., Szczepański, E., & Gołda, P. (2018) “The influence of tram tracks on car vehicle speed and noise emission at four-approach intersections located on multilane arteries in cities,” Journal of Vibroengineering, Vol. 20, No. 6, pp. 2453–2468, Sep. 2018, https://doi.org/10.21595/jve.2018.20087.

14. Soczówka, P., & Żochowska, R. (2020). Interactions between tram passengers and road vehicles at tram stops - a pilot study. Transactions on Transport Sciences, 11(2), 64-76. doi: 10.5507/tots.2020.007.

Citations

1. Клюєв С.О., Сігонін А.Є., Цимбал С.В. Розвиток інтелектуальних транспортних систем. ВМТ, 2023, вип. 18, вип. 2, с. 80–86. DOI: https://doi.org/10.31649/2413-4503-2023-18-2-80-86

2. Правила дорожнього руху 2025: веб-сайт. URL: https://vodiy.ua/pdr/ (дата звернення: 24.01.2025).

3. Ройко Ю.Я. (2017) Аналіз впливу трамваїв на безпеку руху. Вісник Національного університету "Львівська політехніка". Динаміка, міцність та проектування машин і приладів. 2017, № 866. С. 225-229. URL: http://nbuv.gov.ua/UJRN/VNULPDM_2017_866_41

4. Кульбашна Н. І. Зупиночний пункт як об’єкт дослідження роботи МЕТ в нових ринкових умовах Сталий розвиток міст. Електричний транспорт – перспективи розвитку та кадрове забезпечення: матеріали міжнар. наук.-практ. конф., 1-3 жовтня 2009 р. Харків: ХНАМГ, 2009. С.107–109.

5. Павлова І., Грабовець В., Дубицький О., Онищук В. Аналіз роботи маршрутного транспорту в зоні зупиночного пункту. Сучасні технології в машинобудуванні та транспорті, 2019, 2(13), 139-145. https://doi.org/10.36910/automash.v2i13.97.

6. Nimmi Candappa, Bruce Corben and Jeremy Yuen. Addressing the Conflict Potential between Motor Vehicles and Trams at Cut-through Locations. Monash University Accident Research Centre. 2013. Report 317. 47 р.

7. Improving the future of road safety in Australia with Vehicle-to-Vehicle (V2V) communication Posted. Urban mobility, Passenger experience, Australia. 2022. URL: https://innovation.keolis.com/en/projects-news-insights/improving-the-future-of-road-safety-in-australia-with-vehicle-to-vehicle-v2v-communication/

8. Louati, A., Kariri, E. Enhancing Intersection Performance for Tram and Connected Vehicles through a Collaborative Optimization. Sustainability, 2023, 15(12), 9231. https://doi.org/10.3390/su15129231

9. Mouloud Khelf, Salim Boukebbab, Neila Bhouri. The Effect of Tram Management on Road Traffic Fluidity and its Influence on Drivers Behaviors at a Critical Junction in Algeria. Transport Problems = Problemy Transportu, 2023, 18 (2), pp.31-42. ff10.20858/tp.2023.18.2.03ff. ffhal-04273335f

10. da Silva, L.D., Lollini, P., Mongelli, D. et al. A stochastic modeling approach for traffic analysis of a tramway system with virtual tags and local positioning. J Braz Comput Soc 27, 2, 2021. https://doi.org/10.1186/s13173-021-00105-x

11. Zhao X, Li Y, Xu S, Zhai H. Modeling a modern tram system integrated with a road traffic simulation. SIMULATION. 2018;94(1):77-90. doi:10.1177/0037549717734420

12. Jeremi Rychlewski. Modelling of tram traffic quality. European Congress on Computational Methods in Applied Sciences and Engineering. 2004. URL: www.researchgate.net/publication/290698427_Modelling_of_tram_traffic_quality.

13. A. Sobota, R. Żochowska, E. Szczepański, and P. Gołda, “The influence of tram tracks on car vehicle speed and noise emission at four-approach intersections located on multilane arteries in cities,” Journal of Vibroengineering, Vol. 20, No. 6, pp. 2453–2468, Sep. 2018, https://doi.org/10.21595/jve.2018.20087

14. Soczówka, P., & Żochowska, R. Interactions between tram passengers and road vehicles at tram stops - a pilot study. Transactions on Transport Sciences, 2020, 11(2), 64-76. doi: 10.5507/tots.2020.007

Copyright (c) 2025 Olha Kholodova, Olena Levchenko, Maryna Buhaiova, Anastasiia Botsman