PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Critical situations and human resources in discrete transportation systems analysis

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents an approach to critical situations analysis related to discrete transportation systems (DTS). The critical situation is understood as sudden shortage of some system recourses resulting in the transportation system performance degradation. The analysis is realized based on availability calculation of DTS. The system is described by the formal model, which includes reliability and functional parameters of DTS as well as human resources – drivers and management system. The availability and average availability of the system, defined in a functional way, is discussed as a function of different essential parameters of DTS. The proposed analysis is based on the modelling and simulating of the system behaviour using Monte-Carlo approach. The paper presents some exemplar systems – based on real Polish Post DTS – modelling and results.
Rocznik
Strony
205--216
Opis fizyczny
Bibliogr. 21 poz., wykr.
Twórcy
autor
  • Wrocław University of Technology, Poland
  • Wrocław University of Technology, Poland
Bibliografia
  • [1] Barcelo, J., Codina, E., Casas, J., Ferrer, J.L. & Garcia, D. (2005). Microscopic Traffic Simulation: a Tool for the Design, Analysis And Evaluation Of Intelligent Transportation Systems. Journal of Intelligent and Robotic Systems: Theory and Applications, Vol. 41, 173-203.
  • [2] Barlow, R. & Proschan, F. (1996). Mathematical Theory of Reliability. Philadelphia: Society for Industrial and Applied Mathematics.
  • [3] Ben-Akiva, M., Cuneo, D., Hasan, M., Jha, M. & Yang, Q. (2003). Evaluation of Freeway Control Using a Microscopic Simulation Laboratory. Transportation Research, Part C (Emerging Technologies), Vol. 11C, 29-50.
  • [4] Birta, L. & Arbez, G. (2007). Modelling and Simulation: Exploring Dynamic System Behaviour. London: Springer.
  • [5] 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.
  • [6] Duinkerken, M.B., Dekker, R., Kurstjens, S.T.G.L., Ottjes, J.A., & Dellaert, N.P. (2006). Comparing Transportation Systems for InterTerminal Transportation at the Maasvlakte Container Terminals. OR Spectrum, Vol. 28, 469-493.
  • [7] Fishman, G. (1996). Monte Carlo: Concepts, Algorithms, and Applications. Springer-Verlag.
  • [8] 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.
  • [9] Gold, N., Knight, C., Mohan, A. & Munro, M. (2004). Understanding service-oriented software. IEEE Software, Vol. 21, 71-77.
  • [10] Ioannou, P.A. (2008). Intelligent Freight Transportation. Carolina: Taylor and Francis Group.
  • [11] Krzyzanowska, J. (2007). The Impact of Mixed Fleet Hauling on Mining Operations at Venetia Mine. Journal of The South African Institute of Mining and Metallurgy, Vol. 107, 215-224.
  • [12] 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.
  • [13] 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.
  • [14] 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.
  • [15] 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.
  • [16] Walkowiak, T. & Mazurkiewicz, J. (2009). Analysis of Critical Situations in Discrete Transportation Systems. Proc. of International Conference on Dependability of Computer Systems, Brunow, Poland, Los Alamitos: IEEE Computer Society Press, 364-371.
  • [17] Walkowiak, T. & Mazurkiewicz, J. (2008). Availability of Discrete Transportation System Simulated by SSF Tool. Proc. of International Conference on Dependability of Computer Systems, Szklarska Poreba, Poland, Los Alamitos: IEEE Computer Society Press, 430-437.
  • [18] Walkowiak, T. & Mazurkiewicz, J. (2008). Functional Availability Analysis of Discrete Transportation System Realized by SSF Simulator. Computational Science – ICCS 2008, 8th International Conference, Krakow, Poland. Springer-Verlag, LNCS 5101, Part I, 671-678.
  • [19] Walkowiak, T. & Mazurkiewicz, J. (2010). Algorithmic Approach to Vehicle Dispatching in Discrete Transportation Systems. Technical approach to dependability. Wroclaw, 173-188.
  • [20] Walkowiak, T. & Mazurkiewicz, J. (2010). Functional Availability Analysis of Discrete Transportation System Simulated by SSF Tool. International Journal of Critical ComputerBased Systems, Vol. 1, No 1-3, 255-266.
  • [21] Walkowiak, T. & Mazurkiewicz, J. (2010). Soft Computing Approach to Discrete Transportation System Management. Springer-Verlag, LNAI 6114, 675-682.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-117271da-1c84-4dec-9a61-a730f57f4f30
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.