A Model for Identifying Road Risk Class

1 APM (2022) WIM PRO 2.0 system, available online at (accessed 01 December 2022): https://apm.pl/en/systems/wim-pro/ Search in Google Scholar

2 Caleffi, F., Anzanello, M.J., Cybis, H.B.B. (2017) A multivariate-based conflict prediction model for a Brazilian freeway. Accident Analysis & Prevention, 98, 295-302. DOI:10.1016/j.aap.2016.10.025. Open DOISearch in Google Scholar

3 Jacob B., O’Brien E., Jehaes S. (2002) COST 323 Weigh-in-Motion of Road Vehicles, Final Report (1993-1998). Laboratoire Central des Ponts et Chaussées, Paris. Search in Google Scholar

4 European Parliament, Council of the European Union (2019) Directive (EU) 2019/1936 of the European Parliament and of the Council of 23 October 2019 amending Directive 2008/96/EC on road infrastructure safety management. Official Journal of the European Union L 305, 1–16. Search in Google Scholar

5 European Parliament, Council of the European Union (2008) Directive 2008/96/EC of the European Parliament and of the Council of 19 November 2008 on road infrastructure safety management. Official Journal of the European Union L 319, 59–67. Search in Google Scholar

6 Dutta, N., Fontaine, M.D. (2019) Improving freeway segment crash prediction models by including disaggregate speed data from different sources. Accident Analysis & Prevention, 132, 105253. DOI:10.1016/j.aap.2019.07.029 Open DOISearch in Google Scholar

7 ETSC (2022) Ranking EU Progress on Road Safety, 16th Road safety performance index report. European Transport Safety Council, Brussels, available online at (accessed 07 February 2023): https://etsc.eu/wp-content/uploads/16-PIN-annual-report_FINAL_WEB_1506_2.pdf Search in Google Scholar

8 EuroRAP (2020) European Road Assessment Programme, available online at (accessed 01 December 2022): https://eurorap.org/ Search in Google Scholar

9 GDDKiA (2020) Report on the road safety for national roads, for which the traffic management authority is General Director of National Roads and Motorways, available online at (accessed 01 December 2022), https://www.gov.pl/web/gddkia/statystyki-wypadkow-na-drogach-krajowychzarzadzanych-przez-gddkia Search in Google Scholar

10 Hakkert, A.S, Braimaister, L. (2002) The uses of exposure and risk in road safety studies. SWOV Institute for Road Safety Research, The Netherlands, Leidschendam (R-2002-12). Search in Google Scholar

11 Huang, H., Han, C., Xu, G., Jiang, M., Wong, S.C., Haque, M.M. (2020) Incorporating safety reliability into route choice model: Heterogeneous crash risk aversions. Analytic Methods in Accident Research, 25 (100112). DOI:10.1016/j.amar.2020.100112 Open DOISearch in Google Scholar

12 ITF (2022) Road Safety Annual Report 2022, OECD Publishing, Paris, available online at (accessed 07 February 2023), https://www.itf-oecd.org/sites/default/files/docs/irtad-road-safety-annual-report-2022.pdf Search in Google Scholar

13 Minister of Infrastructure and Development (2015) Regulation of the Minister of Infrastructure and Development of 20 October 2015 on the classification of road sections concerning the rate of fatal accidents and due to the road network safety. Journal of Laws of the Republic of Poland, Item 1845. Search in Google Scholar

14 Kukić, D., Lipovac, K., Pešić, D., Rosić, M. (2016) The differences of road safety performance of countries based on outcome indicators. Safety Science, 89, 279-287. DOI:10.1016/j.ssci.2016.07.005 Open DOISearch in Google Scholar

15 Kukić, D., Lipovac, K., Pešić, D., Vujanić, M. (2013) Selection of a relevant indicator – Road casualty risk based on outcomes. Safety Science, 51(1), 165-177. DOI:10.1016/j.ssci.2012.06.016 Open DOISearch in Google Scholar

16 Loga, W., Brzozowski, K., Ryguła, A. (2016) A Method for Estimating the Occupancy Rates of Public Transport Vehicles Using Data from Weigh-In-Motion Systems. Challenge of Transport Telematics, 426-435. DOI:10.1007/978-3-319-49646-7_36 Open DOISearch in Google Scholar

17 Loga-Księska, W., Brzozowski, K. (2021) Estimation of environmental footprint caused by freight vehicles using WIM data in a local scale. In: Proceedings of the 25th International Scientific Conference Transport Means, October 2021. Kaunas: Kaunas University of Technology, 257-261. Search in Google Scholar

18 Lynam, D., Hummel, T., Barker, J., Lawson, S. D. (2004) European Road Assessment Programme EuroRAP I (2003) Technical Report. The AA Motoring Trust, Farnborough, UK Search in Google Scholar

19 Maczyński, A., Brzozowski, K., Ryguła, A. (2021) Analysis and prediction of vehicles speed in free-flow traffic. Transport and Telecommunication, 22 (3), 266-277. DOI:10.2478/ttj-2021-0020 Open DOISearch in Google Scholar

20 National Road Safety Council (NRSC) (2021) The state of road traffic safety and related activities in 2020. Warsaw, available online at (accessed 08 February 2023): https://www.krbrd.gov.pl/bazawiedzy/raporty-o-stanie-brd/ Search in Google Scholar

21 National Road Safety Council (NRSC) (2022) The state of road traffic safety and related activities in 2021. Warsaw, available online at (accessed 08 February 2023): https://www.krbrd.gov.pl/bazawiedzy/raporty-o-stanie-brd/ Search in Google Scholar

22 Paleti, R., Sahin, O., Cetin, M. (2017) Modeling the impact of latent driving patterns on traffic safety using mobile sensor data. Accident Analysis & Prevention, 107, 92-101. DOI:10.1016/j.aap.2017.08.012 Open DOISearch in Google Scholar

23 Pande, A., Chand, S., Saxena, N., Dixit, V., Loy, J., Wolshon, B., Kent, J.D (2017) A preliminary investigation of the relationships between historical crash and naturalistic driving. Accident Analysis & Prevention, 101, 107-116. DOI:10.1016/j.aap.2017.01.023 Open DOISearch in Google Scholar

24 Papadimitriou, E., Yannis, G., Bijleveld, F., Cardoso, J.,L. (2013) Exposure data and risk indicators for safety performance assessment in Europe, Accident Analysis & Prevention, 60, 371-383. DOI: 10.1016/j.aap.2013.04.040 Open DOISearch in Google Scholar

25 Poulikakos, L.D., Heutschi, K., Soltic, P. (2013) Heavy duty vehicles: Impact on the environment and the path to green operation. Environmental Science & Policy, 33, 154-161. DOI:10.1016/j.envsci.2013.05.004 Open DOISearch in Google Scholar

26 RDocumentation (2022) Principal Component Analysis, available online at (accessed 01 December 2022): https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/prcomp Search in Google Scholar

27 Rygula, A., Brzozowski, K., Maczyński, A. (2020) Limitations of the effectiveness of Weigh in Motion systems. Open Engineering, 10(1), 183-196. DOI:10.1515/eng-2020-0020 Open DOISearch in Google Scholar

28 Saifizul, A., Yamanaka, H., Karim, M. (2011) Empirical analysis of gross vehicle weight and free flow speed and consideration on its relations with differential speed limit. Accident Analysis and Prevention, 43, 1068-1073. DOI:10.1016/j.aap.2010.12.013 Open DOISearch in Google Scholar

29 Sarraf, R., McGuire, M. P. (2018) A Data Driven Approach for Safe Route Planning. International Journal of Applied Geospatial Research, 9(1), 1-18. DOI:10.4018/IJAGR.2018010101 Open DOISearch in Google Scholar

30 Sarraf, R., McGuire, M. P. (2020) Integration and comparison of multi-criteria decision making methods in safe route planner. Expert Systems with Applications, 154, 113399, DOI:10.1016/j.eswa.2020.113399. Open DOISearch in Google Scholar

31 Shah, S.A.R., Ahmad, N., Shen, Y., Pirdavani, A., Basheer, M.A., Brijs, T. (2018) Road Safety Risk Assessment: An Analysis of Transport Policy and Management for Low-, Middle-, and High-Income Asian Countries. Sustainability, 10(2), 389. DOI:10.3390/su10020389. Open DOISearch in Google Scholar

32 Shao, B., Hu, Z., Liu, D. (2019) Using Improved Principal Component Analysis to Explore Construction Accident Situations from the Multi-Dimensional Perspective: A Chinese Study. International Journal of Environmental Research and Public Health, 16(18), 3476. DOI:10.3390/ijerph16183476. Open DOISearch in Google Scholar

33 Shen, Y., Hermans, E., Bao, Q., Brijs, T., Wets, G., Wang, W. (2015) Inter-national benchmarking of road safety: State of the art. Transportation Research Part C: Emerging Technologies, 50, 37-50. DOI:10.1016/j.trc.2014.07.006. Open DOISearch in Google Scholar

34 Stipancic, J., Miranda-Moreno, L., Saunier, N., Labbe, A. (2018a) Vehicle manoeuvers as surrogate safety measures: Extracting data from the GPS-enabled smartphones of regular drivers. Accident Analysis & Prevention, 115, 160-169. DOI:10.1016/j.aap.2018.03.005. Open DOISearch in Google Scholar

35 Stipancic, J., Miranda-Moreno, L., Saunier, N., Labbe, A. (2018b) Surrogate safety and network screening: Modelling crash frequency using GPS travel data and latent Gaussian Spatial Models. Accident Analysis & Prevention, 120, 174-187. DOI:10.1016/j.aap.2018.07.013. Open DOISearch in Google Scholar

36 Stipancic, J., Miranda-Moreno, L., Saunier, N., Labbe, A. (2019) Network screening for large urban road networks: Using GPS data and surrogate measures to model crash frequency and severity. Accident Analysis & Prevention,125, 290-301. DOI:10.1016/j.aap.2019.02.016. Open DOISearch in Google Scholar

37 Tabachnick, B.G., Fidell, L.S., Osterlind, S.J. (2006) Using Multivariate Statistics. Pearson/Allyn & Bacon, Boston. Search in Google Scholar

38 Tahaei, N., Yang, J.J., Chorzepa, M. G., Kim, S.S., Durham, S.A. (2021) Machine learning of Truck Traffic Classification groups from Weigh-in-Motion data. Machine Learning with Applications, 6, 100178. DOI:10.1016/j.mlwa.2021.100178. Open DOISearch in Google Scholar

39 World Health Organization (2018) Global status report on road safety. Geneva, available online at (accessed 06 February 2023): https://www.who.int/publications/i/item/9789241565684. Yannis, G., Papadimitriou, E., Lejeune, P., Treny, V., Hemdorff, S., Bergel, R., Haddak, M., Holló, P., Cardoso, J., Bijleveld, F., Houwing, S., Bjørnskau, T. (2005) Deliverable 2.1. State of the Art Report on Risk and Exposure Data. Integrated Project No. 506723: SafetyNet, available online at (accessed 01 December 2022), http://www.dacota-project.eu/Links/erso/safetynet/fixed/WP2/Deliverable%20wp%202.1%20state%20of%20the%20art.pdf Search in Google Scholar