Communications - Scientific Letters of the University of Zilina 2025, 27(3):D90-D101 | DOI: 10.26552/com.C.2025.037

Improving the Methodology of Adaptive Traffic Control at Pedestrian Crosswalks

Yuriy Royko ORCID..., Oleh Hrytsun ORCID..., Romana Bura ORCID...*, Roman Rohalskyi ORCID..., Yurii Yevchuk ORCID...
Department of Transport Technologies, Lviv Polytechnic National University, Lviv, Ukraine

The paper presents the results of an experimental study carried out at signalized intersections and pedestrian crosswalks in Lviv (Ukraine). The study covered intersections with different traffic conditions. Therefore, the intersections were classified into three types. It was found that the share of pedestrians who cross the road on the prohibitive traffic signal varies from 7% in the central areas to 13% near transport hubs. A methodology, which predicts the pedestrian behavior when they make decisions about crossing the roadway, is proposed. Recommendations were developed for choosing the optimal traffic light control modes. It was found that increasing the duration of the restrictive signal for pedestrians increases the probability of crossing the road during the restrictive signal of the traffic light. It emphasizes the need to adjust the duration of the traffic light cycle in areas with heavy pedestrian traffic.

Keywords: traffic flow, pedestrian flow, signalized pedestrian crosswalk, traffic light cycle duration, traffic delay
Grants and funding:

We would like to express our gratitude to Lviv municipal enterprise “Lvivavtodor” for its valuable assistance and cooperation during the experimental study. Your support and professionalism were an important contribution to the results of our work.

Conflicts of interest:

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Received: November 8, 2024; Accepted: March 26, 2025; Prepublished online: May 12, 2025; Published: July 1, 2025  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Royko, Y., Hrytsun, O., Bura, R., Rohalskyi, R., & Yevchuk, Y. (2025). Improving the Methodology of Adaptive Traffic Control at Pedestrian Crosswalks. Communications - Scientific Letters of the University of Zilina, 27(3), D90-101. doi: 10.26552/com.C.2025.037
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. BOIKIV, M., POSTRANSKYY, T., AFONIN, M. Establishing patterns of change in the efficiency of regulated intersection operation considering the permitted movement directions. Eastern-European Journal of Enterprise Technologies [online]. 2022, 118(3), p. 17-26. ISSN 1729-3774. Available from: https://doi.org/ 10.15587/1729-4061.2022.262250 Go to original source...
    2. FORNALCHYK, Y., KODA, E., KERNYTSKYY, I., HRYTSUN, O., ROYKO, Y., BURA, R., OSINSKI, P., BARABASH, R., HUMENUYK, R., POLYANSKY, P. The impact of vehicle traffic volume on pedestrian behavior at unsignalized crosswalks. Roads and Bridges - Drogi i Mosty [online]. 2023, 22(2), р. 201-219. eISSN 2449-769X. Available from: https://doi.org/10.7409/rabdim.023.010 Go to original source...
    3. HASSAN, S., HOUNSELL, N., SHRESTHA, B. Investigating the applicability of upstream detection strategy at pedestrian signalised crossings. Promet - Traffic and Transportation [online]. 2017, 29(5), р. 503-510. ISSN 1848-4069. Available from: https://doi.org/10.7307/ptt.v29i5.2225 Go to original source...
    4. PAU, G., CAMPISI, T., CANALE, A., SEVERINO, A., COLLOTTA, M., TESORIERE, G. Smart pedestrian crossing management at traffic light junctions through a fuzzy-based approach. Future Internet [online]. 2018, 10(2), 15. ISSN 1999-5903. Available from: https://doi.org/10.3390/fi10020015 Go to original source...
    5. HO, T., CHUNG, M. Information-aided smart schemes for vehicle flow detection enhancements of traffic microwave radar detectors. Applied Sciences [online]. 2016, 6(7), 196. eISSN 2076-3417. Available from: https://doi.org/10.3390/app6070196 Go to original source...
    6. EL HAMDANI, S., BENAMAR, N., YOUNIS, M. Pedestrian support in intelligent transportation systems: challenges, solutions and open issues. Transportation Research Part C: Emerging Technologies [online]. 2020, 121, 102856. ISSN 0968-090X. Available from: https://doi.org/10.1016/j.trc.2020.10285 Go to original source...
    7. SALVO, G., CARUSO, L., SCORDO, A., GUIDO, G., VITALE, A. Traffic data acquirement by unmanned aerial vehicle. European Journal of Remote Sensing [online]. 2017, 50(1), p. 343-351. eISSN 2279-7254. Available from: https://doi.org/10.1080/22797254.2017.1328978 Go to original source...
    8. BRANQUINHO, J., SENNA, C., ZUQUETE, A. An efficient and secure alert system for vanets to improve crosswalks' security in smart cities. Sensors [online]. 2020, 20(9), 2473. еISSN 1424-8220. Available from: https://doi.org/10.3390/s20092473 Go to original source...
    9. ZHANG, H., ZHANG, C., WEI, Y., CHEN, F. Effects of mobile phone use on pedestrian crossing behavior and safety at unsignalized intersections. Canadian Journal of Civil Engineering [online]. 2019, 46(5), р. 381-38. ISSN 0315-1468, eISSN 1208-6029. Available from: https://doi.org/10.1139/cjce-2017-0649 Go to original source...
    10. GIUFFRE, T., CAMPISI, T., TESORIERE, G. Implications of adaptive traffic light operations on pedestrian safety. IOSR Journal of Mechanical and Civil Engineering [online]. 2017, 13, р. 58-63. еISSN 2278-1684. Available from: https://doi.org/10.9790/1684-1306045863 Go to original source...
    11. BARBERI, S., ARENA, F., TERMINE, F., CANALE, A., OLAYODE, I. Safety aspects of intelligent transport systems applied to road intersections. AIP Conference Proceedings [online]. 2022, 2611(1), 060012. ISSN 1551-7616. Available from: https://doi.org/10.1063/5.0119774 Go to original source...
    12. CHOI, J., AHN, B., KWEON, I. Crosswalk and traffic light detection via integral framework. In: The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision: proceedings [online]. IEEE. 2013. ISBN 978-1-4673-5620-6, eISBN 978-1-4673-5621-3, р. 309-312. Available from: https://doi.org/10.1109/FCV.2013.6485511 Go to original source...
    13. MURALIDHARAN A., COOGAN, S., FLORES, C., VARAIYA, P. Management of intersections with multi-modal high-resolution data. Transportation Research Part C: Emerging Technologies [online]. 2016, 68, р. 101-112. ISSN 0968-090X. Available from: https://doi.org/10.1016/j.trc.2016.02.017 Go to original source...
    14. GUANETTI, J., KIM, Y., BORRELLI, F. Control of connected and automated vehicles: state of the art and future challenges. Annual Reviews in Control [online]. 2018, 45, р. 18-40. ISSN 1367-5788. Available from: https://doi.org/10.1016/j.arcontrol.2018.04.011 Go to original source...
    15. ROYKO, Y., HRYTSUN, O., BURA, R., YEVCHUK, Y. Provision of a rational control mode at pedestrian crosswalk. MATEC Web of Conferences [online]. 2024, 390, 03011. еISSN 2261-236X. Available from: https://doi.org/10.1051/matecconf/202439003011 Go to original source...
    16. ALVER, Y., ONELCIN, P. Gap acceptance of pedestrians at overpass locations. Transportation Research Part F: Traffic Psychology and Behaviour [online]. 2018, 56, р. 436-443. ISSN 1369-8478. Available from: https://doi.org/10.1016/j.trf.2018.05.010 Go to original source...
    17. HASSAN, S., HOUNSELL, N., SHRESTHA, B. Verification of puffin modelling using VISSIM. Journal Technology / Jurnal Teknologi [online]. 2013, 65(3), p. 81-84. ISSN 2180-3722. Available from: https://doi.org/10.11113/jt.v65.2150 Go to original source...
    18. FAYYAZ, K., SCHULTZ, G., GALVEZ DE LEON, P. Driver compliance at enhanced pedestrian crossings in Utah (No. UT-19.03). Utah: Department of Transportation, 2019.
    19. KHATTAK, Z., MAGALOTTI, J., FONTAINE, M. Estimating safety effects of adaptive signal control technology using the Empirical Bayes method. Journal of Safety Research [online]. 2018, 64, р. 121-128. ISSN 0022-4375. Available from: https://doi.org/ 10.1016/j.jsr.2017.12.016 Go to original source...
    20. ASAITHAMBI, G., KUTTAN, M., CHANDRA, S. Pedestrian road crossing behavior under mixed traffic conditions: a comparative study of an intersection before and after implementing control measures. Transportation in Developing Economies [online]. 2016, 2(2), 14. eISSN 2199-9295. Available from: https://doi.org/ 10.1007/s40890-016-0018-5 Go to original source...
    21. ASLANI, M., SEIPEL, S., MESGARI, M., WIERING, M. Traffic signal optimization through discrete and continuous reinforcement learning with robustness analysis in downtown Tehran. Advanced Engineering Informatics [online]. 2018, 38, р. 639-655. ISSN 1474-0346. Available from: https://doi.org/10.1016/j.aei.2018.08.002 Go to original source...
    22. FRICKER, J., ZHANG, Y. Modeling pedestrian and motorist interaction at semi-controlled crosswalks: The effects of a change from one-way to two-way street operation. Transportation Research Record [online]. 2019, 2673(11), р. 433-446. ISSN 0361-1981. Available from: https://doi.org/10.1177/0361198119850142 Go to original source...
    23. HRYTSUN, O. Impact of traffic volume and composition on the change in the speed of traffic flow. Transport Technologies [online]. 2023, 2023(1), р. 12-20. еISSN 2709-5223. Available from: https://doi.org/10.23939/tt2023.01.012 Go to original source...
    24. ADAM, I., WAHAB, A., YAAKOP, M., SALAM, A., ZAHARUDIN, Z. Adaptive fuzzy logic traffic light management system. In: 2014 4th International Conference on Engineering Technology and Technopreneuship ICE2T: proceedings [online]. 2014. ISВN 978-1-4799-4621-1, р. 340-343. Available from: https://doi.org/ 10.1109/ICE2T.2014.7006274 Go to original source...
    25. BI, Y., SRINIVASAN, D., LU, X., SUN, Z., ZENG, W. Type-2 fuzzy multi-intersection traffic signal control with differential evolution optimization. Expert Systems with Applications [online]. 2014, 41, р. 7338-7349. ISSN 0957-4174. Available from: https://doi.org/10.1016/j.eswa.2014.06.022 Go to original source...
    26. STOTSKO, Z., FORNALCHYK, Y., MOHYLA, I. Simulation of signalized intersection functioning with fuzzy control algorithm. Transport Problems. 2013, 8(1), p. 5-16. eISSN 2300-861X.
    27. MONTGOMERY, D., RUNGER, G. Applied statistics and probability for engineers. John wiley and sons, 2020. ISBN 978-1119746355.

    This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content