Network transport systems dependability analysis with critical situations discussion

• Autorzy: Mazurkiewicz J.
• Języki publikacji: EN

Abstrakty

EN

The paper describes the analysis and discussion of the transport network systems in case of the critical situation that happens during ordinary work. The formal model is proposed –the point of view combines hardware and software resources as well as task definition and dispatcher role. The types of failure, procedures and methodology to reduce the consequences of the system faults are pointed and categorized. The functional and reliability measures are defined. The approach to modeling is based on the system behavior observation. The definition of the critical situation sets are created by reliability, functional and human reasons. No restriction on the system structure and on a kind of distribution describing the system functional and reliability parameters is the main advantage of the approach. The proposed solution seems to be essential for the owner and administrator of the transportation systems.

Słowa kluczowe

EN

transport systems; quality; availability; critical situations; dependability; functional models; reliability models

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2015
• Tom: Vol. 6, No. 2
• Strony: 97--106
• Opis fizyczny: Bibliogr. 27 poz., wykr.

Twórcy

autor

Mazurkiewicz J.

• Wroclaw University of Technology, Wroclaw, Poland

Bibliografia

• [1] Banks, J., Carson, J.S. & Nelson, B.N. (1996). Discrete-Event System Simulation, 2nd Edition. Prentice Hall, Upper Saddle River, NJ.
• [2] Barlow, R. & Proschan, F. (1996). Mathematical Theory of Reliability. Philadelphia: Society for Industrial and Applied Mathematics.
• [3] Bischop, Ch. (1996). Neural Networks for Pattern Recognition. Clarendon Press Oxford.
• [4] Burt, C.N. & Caccetta, L. (2007). Match Factor for Heterogeneous Truck and Loader Fleets. International Journal of Mining, Reclamation and Environment, Vol. 21, 262-270.
• [5] Caban, D. & Zamojski, W. (2008). Dependability Analysis of Information Systems with Hierarchical Reconfiguration of Services. The Second International Conference on Emerging Security Information, Systems and Technologies, Cap Esterel, France, 25-31 August 2008, IEEE Computer Society Press, 350-355.
• [6] Caban, D. & Walkowiak, T. (2002). Computer Simulation of Discrete Transport System. XXX Winter School of Reliability. 93-103.
• [7] Duinkerken, M.B., Dekker, R., Kurstjens, S.T.G.L., Ottjes, J.A., & Dellaert, N.P. (2006). Comparing Transportation Systems for InterTerminal Transport at the Maasvlakte Container Terminals, OR Spectrum, Vol. 28, 469-493.
• [8] Fishman, G. (1996). Monte Carlo: Concepts, Algorithms, and Applications. Springer-Verlag.
• [9] Gartner, N., Messer, C.J. & Rathi, A.K. (1998). Traffic Flow Theory and Characteristics. In: T.R. Board (Ed.). Texas: University of Texas at Austin.
• [10] Ioannou, P.A. (2008) Intelligent Freight Transportation. Carolina: Taylor and Francis Group.
• [11] Liu, H., Chu, L. & Recker, W. (2004). Performance Evaluation of ITS Strategies Using Microscopic Simulation. Proc. of the 7th International IEEE Conference on Intelligent Transportation Systems. 255-270.
• [12] Mazurkiewicz, J. & Walkowiak, T. (2004). Fuzzy Economic Analysis of Simulated Discrete Transport System. Artificial Intelligence and Soft Computing - ICAISC 2004, Springer-Verlag, LNAI 3070. 1161-1167.
• [13] Mazurkiewicz, J., & Walkowiak, T. (2004). Fuzzy Economic Analysis of Simulated Discrete Transport System. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS (LNAI) Springer, Heidelberg, vol. 3070, 1161–1167.
• [14] Michalska, K., Zamojski, W. & Mazurkiewicz, J. (2009). Functional-Dependability Metrics for Business Service Oriented Complex Information Systems. Mendel 2009: 15th International Conference on Soft Computing, Brno, Czech Republic, June 24-26, 2009, Brno University of Technology. Faculty of Mechanical Engineering. 234-238.
• [15] Podofillini, L., Zio, E. & Marella, M. (2005). A multi-state Monte Carlo Simulation Model of a Railway Network System. In Advances in Safety and Reliability. European Safety and Reliability Conference - ESREL 2005, K. Kolowrocki (eds). Taylor & Francis Group London. 1567-1575.
• [16] Sanso, B. & Milot, L. (1999). Performability of a Congested Urban-Transportation Network when Accident Information is Available. Transportation Science, Vol. 33, No 1. 10-21.
• [17] Taylor, M.A.P., Woolley, J.E. & Zito, R. (2000). Integration of the Global Positioning System and Geographical Information Systems for Traffic Congestion Studies. Transportation Research, Part C (Emerging Technologies), Vol. 8C, 257-285.
• [18] Vis, I.F.A. (2006). Survey of Research in the Design and Control of Automated Guided Vehicle Systems. European Journal of Operational Research, Vol. 170. 677-709.
• [19] Walkowiak, T. & Mazurkiewicz, J. (2004). Hybrid Approach to Reliability and Functional Analysis of Discrete Transport System. International Conference on Computational Science, ICCS 2004, Springer-Verlag, LNCS 3037. 241-248.
• [20] Walkowiak, T. & Mazurkiewicz, J. (2006). Fuzzy Approach to Economic Analysis of Dispatcher Driven Discrete Transport Systems. DepCoSRELCOMEX'06 International Conference, IEEE Press, Poland, Szklarska Poreba. 366-373.
• [21] Walkowiak, T. & Mazurkiewicz, J. (2008). Availability of Discrete Transport System Simulated by SSF Tool. In: Proceedings of International Conference on Dependability of Computer Systems, Szklarska Poreba, Poland, June, 2008. Los Alamitos: IEEE Computer Society Press. 430-437.
• [22] Walkowiak, T. & Mazurkiewicz, J. (2008). Functional Availability Analysis of Discrete Transport System Realized by SSF Simulator. In: Computational Science – ICCS 2008, 8th International Conference, Krakow, Poland, June 2008. Springer-Verlag, LNCS 5101, Part I. 671-678.
• [23] Walkowiak, T. & Mazurkiewicz, J. (2010). Algorithmic Approach to Vehicle Dispatching in Discrete Transport Systems. In: Technical approach to dependability, Ed. by Jarosław Sugier, et al. Wroclaw: Oficyna Wydawnicza Politechniki Wroclawskiej. 173-188.
• [24] Walkowiak, T. & Mazurkiewicz, J. (2010). Soft Computing Approach to Discrete Transport System Management. In: Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence. Springer-Verlag, Vol. 6114. 675682.
• [25] Zamojski W. & Caban D. (2006). Impact of Software Failures on the Reliability of a ManComputer System. International Journal of Reliability, Quality, and Safety Engineering, vol. 13, No. 2. 149-156.
• [26] Zamojski, W. & Caban, D. (2007). Maintenance Policy of a Network with Traffic Reconfiguration. Proceedings of International Conference on Dependability of Computer Systems. DepCoS - RELCOMEX 2007, Szklarska Poręba, Poland, 14-16 June, 2007, IEEE Computer Society Press. 213-220.
• [27] Zamojski W. (2009). Dependability of Services Networks. Proc. of the Third Summer Safety and Reliability Seminars 2009, SSARS 2009, GdańskSopot, Poland, 19-25 July 2009. Vol. 2, Eds Krzysztof Kołowrocki, Joanna Soszyńska, Enrico Zio. Gdansk, Polish Safety and Reliability Association. 387-396.