Fuzzy regression approach to road safety analysis at regional level

• Autorzy: Smolarek L. , Wachnicka J.
• Języki publikacji: EN

Abstrakty

EN

Road safety modelling on regional level of NUTS 2 in the EU is the complex issue ant authors of this article indicate this in previous publications. During multivariate models development they discovered that it is difficult to make regression model well described all regions, even if they are from one country. In the first step Poisson model of road fatality rate as fatalities per 100 thou of citizens was prepared. In this article was presented the fuzzy regression approach to estimate lover and upper bounds of the modeled value.

Słowa kluczowe

EN

road safety; fatality rate; regions; factors; modelling; Europe; fuzzy function; Poisson model

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2014
• Tom: Vol. 5, No. 2
• Strony: 121--126
• Opis fizyczny: Bibliogr. 18 poz., wykr.

Twórcy

autor

Smolarek L.

• Maritime University, Gdynia, Poland

autor

Wachnicka J.

• University of Technology, Gdańsk, Poland

Bibliografia

• [1] Buckley, J.J. (2006). Fuzzy Statistics. Taipei, Wunan.
• [2] Cheng, C.H. (1998). A new approach for ranking by distance method. Fuzzy Sets and Systems 95, 307-317.
• [3] Commandeur, J.J.F., Bijleveld, F.D., Bergel Hayat, R., Antoniou, C., Yannis, G., & Papadimitriou, E. (2012). On statistical inference in time series analysis of the evolution of road safety. Accident; Anal. Prev. 1-11.
• [4] Diamond, P. (1988). Fuzzy least squares. Information Sciences 46 (3), 141-157.
• [5] Dubois, D. & Prade, H. (1978). Operations on fuzzy numbers. International Journal of Systems Science 9, 613-626.
• [6] Hinkley, D.V. & Reid, N. (1991). Statistical Theory and Modelling: In Honour of Sir David Cox Frs. Chapman & Hall.
• [7] Holló, P., Eksler, V., & Zukowska, J. (2010). Road safety performance indicators and their explanatory value: A critical view based on the experience of Central European countries. Safety Science Vol. 48, No. 9, 1142-1150.
• [8] Jamroz, K. (2011). Metoda zarządzania ryzykiem w inżynierii drogowej. Gdynia.
• [9] Jamroz, K. (2012). The impact of road network structure and mobility on the national traffic fatality rate. Energy Efficient Transportation Networks, International Scientific Conference, Paris 2012.
• [10] Van Beeck, A.E., Mackenbach, E., Looman, J.P. & Kunst, C.W. (1991). Determinants of Traffic Accident Mortality in the Netherlands: A Geographical Analysis. International Journal of Epidemiology Vol. 20, No. 3, 698-706.
• [11] Wachnicka, J. (2012). Modelling selected road safety measures at the regional level in Europe. Journal of Polish Safety and Reliability Association Vol. 3, No. 2, ISNN:2084-5316.
• [12] Wachnicka, J. & Smolarek, L. (2012). The Multivariate Multilevel Analysis Of Different Regional Factors Impact on Road Safety in European Country Regions. Journal of KONBIN No 4 (24), 141-148.
• [13] Wachnicka, J. & Smolarek, L. (2013). Model of multilevel stochastic analysis of road safety on regional level. Reliability: Theory & Applications Vol.8 No. 9, 39-48.
• [14] Tanaka, H., Uejima, S. & Asai, K. (1982). Linear regression analysis with fuzzy model. Transactions on Systems Man and Cybernetics Vol.12, 903-907.
• [15] Zadeh, L.A. (1965). Fuzzy sets. Inf. Control 8, 338-353
• [16] Zimmermann, H.J. (1987). Fuzzy Set, Decision Making and Expert System. Kluwer, Boston.
• [17] Zimmermann, H.J. (1991). Fuzzy Set Theory and its Application (2nd ed.), Kluwer, Boston.
• [18] http://www.dma.fi.upm.es/java/fuzzy/fuzzyinf/fu npert_en.htm