A Novel Approach to Analysis of Road Accidents Using the Trend Analysis and IPTA Method: A Case Study of Kosovo
Abstract
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IPTA method; Kosovo; road accidents; traffic; trend analysis
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References
Ali, R., Kuriqi A., Abubaker Sh., & Kisi, O. (2019). Long-term trends and seasonality detection of the observed flow in Yangtze river using Mann-Kendall and Sen’s innovative trend method. Water, 11(9), Article 1855. https://doi.org/10.3390/w11091855
Assi, K., Rahman, M. S., Mansoor, U., & Ratrout, N. (2020). Predicting crash injury severity with machine learning algorithm synergized with clustering technique: A promising protocol. International Journal Environmental Research and Public Health, 17, Article 5497. https://doi.org/10.3390/ijerph17155497
Ceribasi, G., & Ceyhunlu, I. A. (2021). Analysis of total monthly precipitation of Susurluk Basin in Turkey using innovative polygon trend analysis method. Journal of Water and Climate Change, 12(5), 1532–1543. https://doi.org/10.2166/wcc.2020.253
Deublein, M., Schubert, M., Adey, T. B., Köhler, J., & Faber, H. M. (2013). Prediction of road accidents: A Bayesian hierarchical approach. Accident Analysis & Prevention, 51, 274–291. https://doi.org/10.1016/j.aap.2012.11.019
Dominique, L., & Fred, M. (2010). The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives. Transportation Research Part A: Policy and Practice, 44(5), 291–305. https://doi.org/10.1016/j.tra.2010.02.001
ICMM. (2022, April 13). Infrastruktura. The Independent Commission for Mines and Minerals. https://kosovo-mining.org/kosova/infrastruktura/acces
KAS. (2021a, April 13). Statistical yearbook of the republic of Kosovo. Kosovo Agency of Statistics. https://ask.rks-gov.net/media/5641/vjetari-2020-final-per-web-ang.pdf
KAS. (2021b, April 13). Transport statistics of the republic of Kosovo. Kosovo Agency of Statistics. https://ask.rks-gov.net/media/6639/transport-statistics-q4-2021.pdf
KP. (2021, October 05). Infrastruktura. Kosovo Police Accident Reports. https://kosovo-mining.org/kosova/infrastruktura
Li, Zh., Liu, P., Wang, W., & Xu, Ch. (2012). Using support vector machine models for crash injury severity analysis. Accident Analysis & Prevention, 45, 478–486. https://doi.org/10.1016/j.aap.2011.08.016
NAO. (2019, October 16). Performance audit report road traffic safety. National Audit Office of Republic of Kosovo. http://www.zka-rks.org/wp-content/ uploads/2019/12/Raporti-Auditimit-Siguria-ne-trafik-eng.pdf
Naseer, A., Nour, K. M., & Alkazemi, Y. B. (2020). Towards deep learning based traffic accident analysis. 2020 10th Annual Computing and Communication Workshop and Conference (CCWC), USA, 0817–0820. https://doi.org/10.1109/CCWC47524.2020.9031235
MI. (2015a, October 16). Road safety strategy and action plan for Kosovo 2016–2022. Ministry of Infrastructure of the Republic of Kosovo. https:// www.mit-ks.net/repository/docs/2015_11_05_091915_road_safety_ strategy_20102015.pdf
MI. (2015b). Sectorial strategy and multimodal transport 2015-2025 and the action plan for 5 years. Ministry of Infrastructure of the Republic of Kosovo. https://kryeministri.rks-gov.net/en/blog/sectorial-strategy-and-multim-odal-transport-2015-2025-and-the-action-plan-for-5-years-07-09-2016/
Moghaddam, R. F., Afandizadeh, Sh., & Ziyadi, M. (2010). Prediction of accident severity using artificial neural networks. International Journal of Civil Engineering, 9(1), 41–49. http://ijce.iust.ac.ir/article-1-544-en.pdf
Şen, S., Şişman, E., & Dabanli, I. (2019). Innovative polygon trend analysis (IPTA) and applications. Journal of Hydrology, 575, 202–210. https://doi.org/10.1016/j.jhydrol.2019.05.028
Sohn, Y. S., & Shin, H. (2001). Pattern recognition for road traffic accident severity in Korea. Ergonomics, 44(1), 107–117. https://doi.org/10.1080/00140130120928
WHO. (2004). World report on road traffic injury prevention. World Health Organisation. http://apps.who.int/iris/bitstream/handle/10665/42871/9241562609. pdf?sequence=1
DOI: 10.7250/bjrbe.2022-17.576
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