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The influence of insufficient road visibility on road hazards in urban traffic Cover

The influence of insufficient road visibility on road hazards in urban traffic

Open Access
|Sep 2025

References

  1. Aati, K., Houda, M., Alotaibi, S., Khan, A.M., Alselami, N., Benjeddou, O. (2024). Analysis of Road Traffic Accidents in Dense Cities: Geotech Transport and ArcGIS. Transportation Engineering, 16, 100256. https://doi.org/10.1016/j.treng.2024.100256
  2. Abdulrahman, R., Almoshaogeh, M., Haider, H., Alharbi, F., Jamal, A. (2025). Development and application of a risk analysis methodology for road traffic accidents. Alexandria Engineering Journal, 111, 293–305. https://doi.org/10.1016/j.aej.2024.10.045
  3. Berhanu, Y., Schröder, D., Wodajo, B.T., Alemayehu, E. (2024). Machine learning for predictions of road traffic accidents and spatial network analysis for safe routing on accident and congestion-prone road networks. Results in Engineering, 23, 102737. https://doi.org/10.1016/j.rineng.2024.102737
  4. Bezuglov, A., Comert, G. (2016). Short-term freeway traffic parameter prediction: Application of grey system theory models. Expert Systems With Applications62, 284–292. http://dx.doi.org/10.1016/j.eswa.2016.06.032
  5. Cempel, Cz. (2014). Grey systems theory – new methodology of analysis and evaluation of complex systems. Zeszyty Naukowe Politechniki Poznańskiej – Organizacja i Zarządzanie, 63, 9–20.
  6. Cui, P., Yang, X., Abdel-Aty, M., Zhang, J., Yan, X. (2024). Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning. Accident Analysis and Prevention, 200, 107564. https://doi.org/10.1016/j.aap.2024.107564
  7. Guo, W., Xu, C., Jin, S. (2024). Fusion of satellite and street view data for urban traffic accident hotspot identification. International Journal of Applied Earth Observation and Geoinformation, 130, 103853. https://doi.org/10.1016/j.jag.2024.103853
  8. Hermawan, I., Firdausy, C.M., Rambe, K.R., Zuhdi, F, Erwidodo, Nugraheni, R.D., Malisan, J., Isnasari, Y., Marpaung, E., Asshagab, S.M. (2024). Road traffic facilities, traffic accidents, and poverty: Lesson learned from Indonesia. Transportation Research Interdisciplinary Perspectives, 28, 101273. https://doi.org/10.1016/j.trip.2024.101273.
  9. Jalali, F.M., Heidari, H., Boriskov, P. (2023). Forecasting CO2 emissions using grey system theory. AIP Conference Proceedings, 2812, 020037. https://doi.org/10.1063/5.0161272
  10. Jaspers. (2023). Blue Book – Road Infrastructure. Revised edition.
  11. Kokocińska, M., Nowak, M., Łopatka, P. (2020). Measuring the Efficiency of Economic Growth towards Sustainable Growth with Grey System Theory. Sustainability, 12, 10121. https://doi:10.3390/su122310121
  12. Kpe, P.A., Otoo, D.D., Owusu, R., Bawua, S.A. (2024). Household cost of road traffic accident-related injuries: A case study of St. Joseph Hospital, Koforidua in Ghana. Heliyon, 10, e36179. https://doi.org/10.1016/j.heliyon.2024.e36179
  13. Liang, J., Tang, Z., Qi, F., Jiang, W., Lao, X., Miao, L., Tang, H., Liu, J., Bao, Z. (2023). Preparation of foam ceramics from solid wastes: a study on the relationship between firing regime and properties by grey system theory. Journal of Materials Research and Technology, 26, 58–70. https://doi.org/10.1016/j.jmrt.2023.07.164
  14. Mamo, D.E., Abebe, A., Beyene, T., Alemu, F., Bereka, B. (2023). Road traffic accident clinical pattern and management outcomes at JUMC Emergency Department; Ethiopia. African Journal of Emergency Medicine, 13, 1-5. https://doi.org/10.1016/j.afjem.2022.11.002
  15. Mao, M., Chirwa, E.C. (2006). Application of grey model GM(1, 1) to vehicle fatality risk estimation. Technological Forecasting and Social Change, 73(5), 588–605. https://doi.org/10.1016/j.techfore.2004.08.004
  16. Mingfei, L., Kuhnell, B.T. (1991). Application of Grey System Theory in machine condition monitoring. The Journal of Grey System, 3.
  17. Moslem, S., Farooq, D., Esztergar-Kiss, D., Yaseen, G., Senapati, T., Deveci, M. (2024). A novel spherical decision-making model for measuring the separateness of preferences for drivers’ behavior factors associated with road traffic accidents. Expert Systems With Applications, 238, 122318. https://doi.org/10.1016/j.eswa.2023.122318
  18. Mou, Z., Jin, C., Wang, H., Chen, Y., Li, M., Chen, Y. (2022). Spatial influence of engineering construction on traffic accidents, a case study of Jinan. Accident Analysis and Prevention, 177, 106825. https://doi.org/10.1016/j.aap.2022.106825
  19. Opoka, K. (2020). Predicting economic indices of vehicle insurance using the “grey-system theory”. Scientific Journal of Silesian University of Technology. Series Transport, 107, 119–133. https://doi.org/10.20858/sjsutst.2020.107.9.
  20. Patterns and standards recommended by the Minister responsible for transport. WR-D-31-2. Road intersection design guidelines. Part 2: Standard and channelized intersections.
  21. Qian, N., Fu, Y., Chen, J., Marengo, M., Zhang, J. Xu, J. (2022). Thermal performance analysis of axial-rotating oscillating heat pipe and its prediction model based on grey system theory. Thermal Science and Engineering Progress, 29, 101210. https://doi.org/10.1016/j.tsep.2022.101210
  22. Qiao, X., Zhang, Z., Jiang, X., He, Y., Li, X. (2019). Application of grey theory in pollution prediction on insulator surface in power systems. Engineering Failure Analysis, 106, 104153. https://doi.org/10.1016/j.engfailanal.2019.104153
  23. Sufian, M.A., Varadarajan, J., Niu, M. (2024). Enhancing prediction and analysis of UK road traffic accident severity using AI: Integration of machine learning, econometric techniques, and time series forecasting in public health research. Heliyon, 10, e28547. https://doi.org/10.1016/j.heliyon.2024.e28547
  24. Tabor, J. (2021). Ranking of management factors for safe maintenance system based on Grey Systems Theory. Production Engineering Archives, 27(3), 196-202. https://doi.org/10.30657/pea.2021.27.26
  25. Wang, S., Wang, P., Zhang, Y. A (2020). Prediction method for urban heat supply based on grey system theory. Sustainable Cities and Society, 52, 101819. https://doi.org/10.1016/j.scs.2019.101819
  26. Wang, X., Qi, L., Chen, C., Tang, J., Jiang, M. (2014). Grey System Theory based prediction for topic trend on Internet. Engineering Applications of Artificial Intelligence, 29, 191–200. http://dx.doi.org/10.1016/j.engappai.2013.12.005
  27. Yahia, H.A.M., Mohammed, A.A., Eissa, T., Albrka, S.I., Ladin, M.A., Jashami, H. (2024). Categorizing datasets of road traffic accidents in Oman spanning from 2012 to 2022. Data in Brief, 53, 110184. https://doi.org/10.1016/j.dib.2024.110184
  28. Zha, B-tiang, Zheng, Z., Li, Hao-jie, Chen, Guang-song, Yuan, Hai-lu. (2021). Laser fuze specific target recognition based on grey system theory. Optik, 247, 168020. https://doi.org/10.1016/j.ijleo.2021.168020
  29. Zhou, J., Wang, D., Nezhad kheirollah, S., Maroufpoorf, S., Band, S.S. (2023). Sensitivity analysis of wheat yield based on growing degree days in different growth stages: Application of machine learning approach enhanced by grey systems theory. Computers and Electronics in Agriculture, 210, 107876. https://doi.org/10.1016/j.compag.2023.107876
DOI: https://doi.org/10.37705/TechTrans/e2025011 | Journal eISSN: 2353-737X | Journal ISSN: 0011-4561
Language: English
Submitted on: Apr 28, 2025
Accepted on: Sep 12, 2025
Published on: Sep 17, 2025
Published by: Cracow University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Sławomir Kowalski, published by Cracow University of Technology
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