Have a personal or library account? Click to login
Analyzing the Relationship between Sunset and Sunrise Times and Traffic Accident Rates Cover

Analyzing the Relationship between Sunset and Sunrise Times and Traffic Accident Rates

Open Access
|Jun 2025

References

  1. Alhaek, F., Liang, W., Rajeh, T.M., Javed, M.H. & Li, T. (2024). Learning spatial patterns and temporal dependencies for traffic accident severity prediction: A deep learning approach. Knowl.-Based Syst. 286, 111406. DOI: 10.1016/j.knosys.2024.111406.
  2. Gorzelańczyk, P., Ližbetinová, L. & Pečman, J. (2024). Predicting road accident counts in Poland and the Czech Republic using neural network models. Rocznik Ochrona Środowiska 26, 603–615. DOI: 10.54740/ros.2024.053.
  3. Delcea, C., Rad, D., Toderici, O.F., Bululoi, A.S. & Hitosugi, M. (2023). Posttraumatic Growth, Maladaptive Cognitive Schemas and Psychological Distress in Individuals Involved in Road Traffic Accidents-A Conservation of Resources Theory Perspective. Healthcare 11, 2959. DOI: 10.3390/healthcare11222959.
  4. Kovac, V., Kovacikova, N. & Turinska, L. (2023). Development of Passenger Car Safety. AD ALTA-J. Interdiscip. Res. 13, 361–367.
  5. Ling, Y., Ma, Z., Dong, X. & Weng, X. (2024). A deep learning approach for robust traffic accident information extraction from online chinese news. IET Intell. Transp. Syst. 18, 1847-1862. DOI: 10.1049/itr2.12493.
  6. Wu, D., Liu, N., Xu, P., Sun, K., Xiao, W. & Li, Ch. (2023). Research on Traffic Accident Prediction Based on KG-CWT-RGCNN-bilstm. Eng. Lett. 31, 09.
  7. Jin, Z. & Noh, B. (2023). From Prediction to Prevention: Leveraging Deep Learning in Traffic Accident Prediction Systems. Electronics 12, 4335. DOI: 10.3390/electronics12204335.
  8. Zhi, L., Yang, Ch., Feng, X., Jixin, B., Bing, Z., Guojiang, S. & Xiangjie, K. (2023). TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning. ACM Trans. Knowl. Discov. DATA 17. Article 56, 1–25. DOI: 10.1145/3564594.
  9. Kovac, V., Sahinidis, A. & Xanthopoulou, P. (2024). Relationship between vehicle price and its safety ratings. LOGI – Scientific Journal on Transport and Logistics 15(1), 37-48. DOI: 10.2478/logi-2024-0004.
  10. Grigorev, A., Mihaita, A.-S., Saleh, K. & Chen, F. (2024). Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning. IEEE Trans. Intell. Transp. Syst. 25, 1547–1568. DOI: 10.1109/TITS.2023.3323636.
  11. Cho, M., Park, J., Kim, S. & Lee, Y. (2023). Estimation of Driving Direction of Traffic Accident Vehicles for Improving Traffic Safety. Appl. Sci.-BASEL 13, 7710. DOI: 10.3390/app13137710.
  12. Abuzinadah, N., Aljrees, T., Chen, X., Umer, M., Aboulola, O., Tahir, S., Eshmawi, A., Alnowaiser, K. & Ashraf, I. (2024). Improving Traffic Accident Severity Prediction Using Convoluted Features and Decision-Level Fusion of Models. Transp. Res. Rec. 2678 (8), 731-744. DOI: 10.1177/03611981231220656.
  13. Canonica, A.C., Alonso, A.C., da Silva, V.C., Bombana, H.S., Muzaurieta, A.A., Leyton, V. & Greve, J.M.D. (2023). Factors Contributing to Traffic Accidents in Hospitalized Patients in Terms of Severity and Functionality. Int. J. Environ. Res. Public. Health. 20, 853. DOI: 10.3390/ijerph20010853.
  14. Ghorai, P., Eskandarian, A., Abbas, M. & Nayak, A. (2024). A Causation Analysis of Autonomous Vehicle Crashes. IEEE Intell. Transp. Syst. Mag. 16 (5). DOI: 10.1109/MITS.2024.3386641.
  15. Xiao, P., Zhang, Z., Luo X., Sun, J., Zhou, X, Yang, X. & Huang, L. (2023). Highway Visibility Estimation in Foggy Weather via Multi-Scale Fusion Network. SENSORS 23, 9739. DOI: 10.3390/s23249739.
  16. Guo, Q., Liang, J. & Wang, H. (2023). Night Vision Anti-Halation Algorithm of Different-Source Image Fusion Based on Low-Frequency Sequence Generation. Mathematics 11, 2237. DOI: 10.3390/math11102237.
  17. Wu, D., Liu, N., Xu, P., Sun, K., Xiao, W. & Li, C. (2020). Reduced Contrast Sensitivity Function in Central and Peripheral Vision by Disability Glare. Perception 49, 1348–1361. DOI: 10.1177/0301006620967641.
  18. Hudec, J., Šarkan, B., Caban, J. & Stopka, O. (2021). The impact of driving schools’ training on fatal traffic accidents in the Slovak Republic. Scientific Journal of Silesian University of Technology. Series Transport 110, 41–49. DOI: 10.20858/sjsutst.2021.110.4.
  19. Li, W. & Luo, Z. (2023). Research on Traffic Accident Risk Prediction Method Based on Spatial and Visual Semantics. ISPRS Int. J. GEO-Inf. 12, 496. DOI: 10.3390/ijgi12120496.
  20. Vinta, S.R., Rajarajeswari, P., Kumar, M.V. & Kumar, G. (2024). S.C. BConvLSTM: a deep learning-based technique for severity prediction of a traffic crash. Int. J. CRASHWORTHINESS 1–11. DOI: 10.1080/13588265.2024.2348397.
  21. Li, W., Zhao, X. & Liu, S. (2020). Traffic Accident Prediction Based on Multivariable Grey Model. Information 11, 184. DOI: 10.3390/info11040184.
  22. Liang, M., Zhang, Y., Qu, G., Yao, Z., Min, M., Shi, T., Duan, L. & Sun, Y. (2020). Epidemiology of fatal crashes in an underdeveloped city for the decade 2008-2017. Int. J. Inj. Contr. Saf. Promot. 27, 253–260. DOI: 10.1080/17457300.2020.1737140.
  23. Jeong, H., Kim, I., Han, K. & Kim, J. (2022). Comprehensive Analysis of Traffic Accidents in Seoul: Major Factors and Types Affecting Injury Severity. Appl. Sci.-Basel. 12, 1790. DOI: 10.3390/app12041790.
  24. Wang, Y., Zhai, H., Cao, X. & Geng, X. (2023). Cause Analysis and Accident Classification of Road Traffic Accidents Based on Complex Networks. Appl. Sci.-Basel. 13, 12963. DOI: 10.3390/app132312963.
  25. Xie, G., Shangguan, A., Fei, R., Hei, X., Ji, W. & Qian, F. (2021). Unmanned System Safety Decision-Making Support: Analysis and Assessment of Road Traffic Accidents. IEEE-ASME Trans. Mechatron. 26, 633–644. DOI: 10.1109/TMECH.2020.3043471.
  26. Řezníček, T. & Sloup, V. (2024). Car accidents in the czech republic and light as a contributory factor. AD ALTA: Journal of Interdisciplinary Research 14, 348-354. DOI: 10.33543/j.1401.348354.
  27. Culik, K., Kalasova, A. & Stefancova, V. (2022). Evaluation of Driver’s Reaction Time Measured in Driving Simulator. SENSORS 22, 3542. DOI: 10.3390/s22093542.
  28. Wang, S., Zhang, J., Li, J., Miao, H. & Cao, J. (2023). Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal Networks. IEEE Trans. Knowl. DATA Eng. 35, 12323–12336. DOI: 10.1109/TKDE.2021.3135621.
  29. Ding, Y., Li, D., Huang, M., Cao, X. & Tang, B. (2021). Study on the influence of skid resistance on traffic safety of highway with a high ratio of bridges and tunnels. Transp. Saf. Environ 3, tdab025. DOI: 10.1093/tse/tdab025.
  30. Zhang, L., Zhang, M., Tang, J., Ma, J., Duan, X., Sun, J., Hu, X. & Xu, S. (2022). Analysis of Traffic Accident Based on Knowledge Graph. Journal of Advanced Transportation, 1-16. DOI: 10.1155/2022/3915467.
  31. In-pocasi (2024). Solar calendar - Praha. Retrieved August 8, 2024, from https://www.inpocasi.cz/predpoved-pocasi/cz/praha/praha-324/astro/?kalendar=slunce&mesic=1&rok=2023
  32. Kubecek, J. (2024, August 10). Traffic accidents in the Czech Republic (in Czech). Retrieved August 8, 2024, from https://nehody.cdv.cz/statistics.php
  33. Woo, B., Kim, H., Kim, J., Baik, H. & Kim, H.K. (2021). Influence of solar glare intensity on vehicular speed variance. J. Transp. Health 20, 101020. DOI: 10.1016/j.jth.2021.101020.
  34. Caban, J., Droździel, P., Stoma, M., Dudziak, A., Vrabel, J. & Stopka, O. (2020). Road Traffic Safety in Poland, Slovakia and Czech Republic – Statistic Analysis. 2020 12th International Science-Technical Conference AUTOMOTIVE SAFETY. (pp. 1–6). DOI: 10.1109/AUTOMOTIVESAFETY47494.2020.9293507.
Language: English
Page range: 80 - 91
Submitted on: Dec 3, 2024
Accepted on: Jun 2, 2025
Published on: Jun 28, 2025
Published by: Institute of Technology and Business in České Budějovice
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Kovac Vilem, Andrej Kunštek, Tomislav Kučinić, published by Institute of Technology and Business in České Budějovice
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.