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Information management in passenger traffic supporting system design as a multi-criteria discrete optimization task

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Języki publikacji
EN
Abstrakty
EN
This paper presents a concept of an Integrated System of Supporting Information Management in Passenger Traffic (ISSIMPT). The novelty of the system is an integration of six modules: video monitoring, counting passenger flows, dynamic information for passengers, the central processing unit, surveillance center and vehicle diagnostics into one coherent solution. Basing on expert evaluations, we propose to present configuration design problem of the system as a multi-objectives discrete static optimization problem. Then, hybrid method joining properties of weighted sum and ε-constraint methods is applied to solve the problem. Solution selections based on hybrid method, using set of exemplary cases, are shown.
Rocznik
Strony
229--238
Opis fizyczny
Bibliogr. 13 poz., rys., tab., wzory
Twórcy
autor
  • Silesian University of Technology, 44-100 Gliwice, Akademicka str. 16, Poland
autor
  • Silesian University of Technology, 44-100 Gliwice, Akademicka str. 16, Poland
autor
  • Silesian University of Technology, 44-100 Gliwice, Akademicka str. 16, Poland
autor
  • Transilvania University, Politehnicii 1, Brasov 500019, Romania
  • Silesian University of Technology, 44-100 Gliwice, Akademicka str. 16, Poland
Bibliografia
  • [1] J. Mlynczak: Analysis of Intelligent Transport Systems (ITS) in Public Transport of Upper Silesia. Springer Berlin Heidelberg. Modern Transport Telematics, 2011, 164-171.
  • [2] Summary of the state of rail safety. Report for the third quarter of 2013. Railway Transport Office, Warsaw, November 2013.
  • [3] T. Hejczyk, B. Wszolek, A. Galuszka, J. Mlynczak and R. Burdzik: Application of safety and communication modules as an integrated intelligent system in rail vehicles. Vibroengineering Procedia, 4 (2014), 105-110.
  • [4] A. Galuszka and A. Swierniak: Non-cooperative game approach to multirobot planning. Int. J. of Applied Mathematics and Computer Science, 15(3), (2005), 359-367.
  • [5] M. Emmerich: Matlab Help Optimization Toolbox, Multiobjective Optimization. 2005.
  • [6] A. Galuszka, A, Swierniak, T. Hejczyk, B. Wszolek and J. Mlynczak: Design of rail passengers safety and comfort system as three-objective discrete static optimization problem. Carlos Enrique Palau Salvador (Ed.): ISC’2015, 13th Annual Industrial Simulation Conf., Valencia, Spain, (2015), 89-94.
  • [7] A. Galuszka, A. Swierniak, T. Hejczyk and J. Mlynczak: Hybrid optimization method for design of rail passengers safety and comfort system. Procedia Technology, 22 (2016), 905-912.
  • [8] Hu Zhengqun, Junxia Cui, J. Zhang, L. Zhang and L. Chang: Railway safety monitoring system based on CAPS. Fifth Int. Conf. on Measuring Technology and Mechatronics Automation, (2013), CD-ROM.
  • [9] J. Krystek and T. Trznadel: Application of the algorithm DBR of Constraints Theory to production planning. Przeglad Elektrotechniczny, 88(10b), (2012), 163-169, (in Polish).
  • [10] J. R. Wilson, A. Mills, T. Clarke, J. Rajan and N. Dadashi (Eds): Rail Human Factors Around the World: Impacts on and of People for Successful Rail Operations. CRC Press, Croydon 2012.
  • [11] T. Popescu: Proiectul Feroviar Romanesc. Editura Simetria, 2014, (in Romanian).
  • [12] M. Belazzoug, M. Boudour and K. Sebaa: FACTS location and size for reactive power system compensation through the multi-objective optimization. Archives of Control Sciences, 20 (2010), 473-489.
  • [13] K. Skrzypczyk: Time optimal tracking a moving target by a mobile vehicle – game theoretical approach. Przeglad Elektrotechniczny, 86(3), (2010), 211-215, (in Polish).
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f06fe797-688e-4882-8e18-3f7b0c8ff32c
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