Identifying the impact of posted speed limits on vehicle travel mode on urban routes

Authors

DOI:

https://doi.org/10.15587/1729-4061.2025.329830

Keywords:

speed limit, average speed, speed mode, acceleration noise, speed gradient, GPS track

Abstract

The object of the study is the vehicle driving mode and the results of trip on the road network of a large city under various speed limit conditions. The problem of quantitative assessment of the impact of speed limits on the average speed on the route, as well as on the indicators of driving mode unevenness, was solved. The values of such traffic parameters as average speed, average speed deviation, acceleration noise, speed gradient, energy gradient at different values of the posted speed limit (PSL) were obtained. Graphs of changes in the average speed and indicators of the unevenness of the speed regime were constructed and mathematical models of the dependence of the average speed on urban routes on the adopted speed limit were proposed. The results showed an increase in the average speed on the route by an average of 2.4 km/h with an increase in PSL by 10 km/h. At the same time, the dependence of the average speed on the PSL is non-linear and shows a decrease in the impact of the speed limit factor at higher PSL values (from 3.5 km/h for a PSL of 50 km/h to 1.24 km/h for a PSL of 80 km/h). Increasing the PSL does not affect the specific time in motion and leads to an increase in the specific idle time. With an increase in PSL, the acceleration noise and energy gradient increase. The increase in average speed is explained by the ability to increase speed in low-loaded sections of the route, but with an increase in PSL, the ability to realize the increased speed decreases, and the traffic mode itself becomes more uneven.

The research was carried out using the “driving laboratory” method on three different routes under the same initial conditions for speed limits from 50 to 80 km/h. The driving mode of the car was recorded in the form of GPS tracks. The results can be used to assess the impact of PSL changes on the technical and economic performance of urban road transport. The results will also be useful in conducting an information campaign and promoting a culture of compliance with the speed limits established in cities among drivers

Author Biographies

Oleksandr Riabushenko, Kharkiv National Automobile and Highway University

PhD, Associate Professor

Department of Road Traffic Organization and Safety

Ivan Nahliuk, Kharkiv National Automobile and Highway University

Doctor of Technical Sciences, Head of Department

Department of Road Traffic Organization and Safety

Serhii Danets, Kharkiv Research Expert and Forensic Center of the Ministry of Internal Affairs of Ukraine

PhD, First Deputy Director

Mykola Bahlai, National Academy of the National Guard of Ukraine

PhD

Department of Automotive Engineering

References

  1. Raccagni, S., Ventura, R., Barabino, B. (2024). Impact of urban road characteristics on vehicle speed: Insights from Brescia, Italy. Heliyon, 10 (20), e39459. https://doi.org/10.1016/j.heliyon.2024.e39459
  2. van Eggermond, M. A. B., Schaffner, D., Studer, N., Erath, A. (2025). Quantifying the effect of road design on urban road driving speed. Transportation Research Part F: Traffic Psychology and Behaviour, 112, 148–169. https://doi.org/10.1016/j.trf.2025.04.005
  3. Castillo-Manzano, J. I., Castro-Nuño, M., López-Valpuesta, L., Vassallo, F. V. (2019). The complex relationship between increases to speed limits and traffic fatalities: Evidence from a meta-analysis. Safety Science, 111, 287–297. https://doi.org/10.1016/j.ssci.2018.08.030
  4. Gupta, N., Megat Johari, M. U., Jashami, H., Savolainen, P. (2022). How is traffic safety affected by changes in traffic speeds following speed limit increases? An evaluation with probe vehicle data. Traffic Safety Research, 3, 000017. https://doi.org/10.55329/xsjw3584
  5. Othman, B., De Nunzio, G., Di Domenico, D., Canudas-de-Wit, C. (2022). Analysis of the Impact of Variable Speed Limits on Environmental Sustainability and Traffic Performance in Urban Networks. IEEE Transactions on Intelligent Transportation Systems, 23 (11), 21766–21776. https://doi.org/10.1109/tits.2022.3192129
  6. Othman, B., Nunzio, G. D., Di Domenico, D., Canudas-de-Wit, C. (2021). Urban Road Traffic Fuel Consumption Optimization via Variable Speed Limits or Signalized Access Control: A Comparative Study. 2021 60th IEEE Conference on Decision and Control (CDC), 1929–1934. https://doi.org/10.1109/cdc45484.2021.9683194
  7. Al-Mosherefawi, O. J., Jwad, R. A. (2025). Evaluation of the Urban Transport System According to the Principles of the Active City: Kufa City as a Case Study. European International Journal of Multidisciplinary Research and Management Studies, 5 (1), 27–34. https://doi.org/10.55640/eijmrms-05-01-05
  8. van Goeverden, C. D. (2022). The value of travel speed. Transportation Research Interdisciplinary Perspectives, 13, 100530. https://doi.org/10.1016/j.trip.2021.100530
  9. Zheng, L., Ma, H., Wang, Z. (2024). Travel Time Estimation for Urban Arterials Based on the Multi-Source Data. Sustainability, 16 (17), 7845. https://doi.org/10.3390/su16177845
  10. Nian, G., Sun, J., Huang, J. (2021). Exploring the Effects of Urban Built Environment on Road Travel Speed Variability with a Spatial Panel Data Model. ISPRS International Journal of Geo-Information, 10 (12), 829. https://doi.org/10.3390/ijgi10120829
  11. Schweppenhäuser, M., Schrab, K., Protzmann, R., Radusch, I. (2025). Evaluating spatiotemporal speed metrics for traffic state estimation on complex urban roads. Simulation. https://doi.org/10.1177/00375497241308890
  12. Shi, C., Chen, B., Li, Q. (2017). Estimation of Travel Time Distributions in Urban Road Networks Using Low-Frequency Floating Car Data. ISPRS International Journal of Geo-Information, 6 (8), 253. https://doi.org/10.3390/ijgi6080253
  13. Salonen, M., Toivonen, T. (2013). Modelling travel time in urban networks: comparable measures for private car and public transport. Journal of Transport Geography, 31, 143–153. https://doi.org/10.1016/j.jtrangeo.2013.06.011
  14. Lu, Q.-L., Qurashi, M., Antoniou, C. (2023). Simulation-based policy analysis: The case of urban speed limits. Transportation Research Part A: Policy and Practice, 175, 103754. https://doi.org/10.1016/j.tra.2023.103754
  15. Jia, R., Li, Z., Xia, Y., Zhu, J., Ma, N., Chai, H., Liu, Z. (2020). Urban road traffic condition forecasting based on sparse ride‐hailing service data. IET Intelligent Transport Systems, 14 (7), 668–674. https://doi.org/10.1049/iet-its.2019.0338
  16. Pulugurtha, S., Koilada, K. (2020). Exploring Correlations between Travel Time Based Measures by Year, Day-of-the-week, Time-of-the-day, Week-of-the-Year and the Posted Speed Limit. Urban, Planning and Transport Research, 9 (1), 1–17. https://doi.org/10.1080/21650020.2020.1845230
  17. Jin, J., Rafferty, P. (2021). How the speed limit policy affects travel speed?: Quasi-experimental approach. Transport Policy, 103, 2–10. https://doi.org/10.1016/j.tranpol.2021.01.003
  18. Wei, L., Li, W., Liang, H., Luo, F. (2023). Traffic Flow Characteristics of Speed Limited Roads Based on Cellular Automata NaSch Traffic Flow Model. Advances in Intelligent Systems, Computer Science and Digital Economics IV, 629–638. https://doi.org/10.1007/978-3-031-24475-9_51
  19. Yang, H., Wang, X., Yin, Y. (2012). The impact of speed limits on traffic equilibrium and system performance in networks. Transportation Research Part B: Methodological, 46 (10), 1295–1307. https://doi.org/10.1016/j.trb.2012.08.002
  20. Li, S., Wang, T., Ren, H., Shi, B., Kong, X. (2021). Optimization Model and Method of Variable Speed Limit for Urban Expressway. Journal of Advanced Transportation, 2021, 1–13. https://doi.org/10.1155/2021/9950417
  21. Jang, S., Wu, S., Kim, D., Song, K.-H., Lee, S. M., Suh, W. (2022). Impact of Lowering Speed Limit on Urban Transportation Network. Applied Sciences, 12 (11), 5296. https://doi.org/10.3390/app12115296
  22. Bist, T. C., Tiwari, H. (2024). Assessment of Stratified Speed Characteristics and Compliance with Posted Speed Limit in an Urban Area: A Case Study of Section of Karnali Highway, Nepal. International Journal on Engineering Technology, 2 (1), 187–194. https://doi.org/10.3126/injet.v2i1.72571
  23. Alkaissi, Z. A., Hussain, R. Y. (2025). Travel Time Variability and Spatio-Temporal Analysis of Urban Streets Using Global Positioning System: A Review. Journal of Engineering, 31 (1), 173–188. https://doi.org/10.31026/j.eng.2025.01.10
  24. Alomari, A. H., Khedaywi, T. S., Marian, A. R. O., Jadah, A. A. (2022). Traffic speed prediction techniques in urban environments. Heliyon, 8 (12), e11847. https://doi.org/10.1016/j.heliyon.2022.e11847
  25. Babu, Y. S., Pattnaik, S. B. (1997). Acceleration noise and level of service of urban roads ‐ A case study. Journal of Advanced Transportation, 31 (3), 325–342. https://doi.org/10.1002/atr.5670310307
  26. Naef, M., Al-Taei, A. (2021). Evaluation of Acceleration Noise Parameter as a Traffic Flow Performance Indicator for Multi-Lane Urban Highways. Al-Rafidain Engineering Journal (AREJ), 26 (1), 44–52. https://doi.org/10.33899/rengj.2021.128127.1059
  27. Kadoya, Y., Watanapongvanich, S., Khan, M. S. R. (2021). How is emotion associated with driving speed? A study on taxi drivers in Japan. Transportation Research Part F: Traffic Psychology and Behaviour, 79, 205–216. https://doi.org/10.1016/j.trf.2021.04.020
  28. Shirazinejad, R. S., Dissanayake, S. (2020). Speed Characteristics in Relation to Speed Limit Increase and Its Influence on Driver’s Speed Selection Behavior. Sustainability, 12 (4), 1369. https://doi.org/10.3390/su12041369
  29. Riabushenko, O. (2023). Methodology for determining bottlenecks on the city’s street-road network by analyzing GPS track data. Automobile Transport, 52, 71–79. https://doi.org/10.30977/at.2219-8342.2023.52.0.08
  30. Alomari, A., Al-Omari, A., Aljizawi, W. (2022). Evaluation of travel time reliability in urban areas using mobile navigation applications in Jordan. Journal of Applied Engineering Science, 20 (3), 644–656. https://doi.org/10.5937/jaes0-35118
Identifying the impact of posted speed limits on vehicle travel mode on urban routes

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Published

2025-06-30

How to Cite

Riabushenko, O., Nahliuk, I., Danets, S., & Bahlai, M. (2025). Identifying the impact of posted speed limits on vehicle travel mode on urban routes. Eastern-European Journal of Enterprise Technologies, 3(3 (135), 105–114. https://doi.org/10.15587/1729-4061.2025.329830

Issue

Vol. 3 No. 3 (135) (2025): Control processes

Section

Control processes

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Copyright (c) 2025 Oleksandr Riabushenko, Ivan Nahliuk, Serhii Danets, Mykola Bahlai

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