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Mathematical Modeling of Multimodal Transportation Risks

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Recent Advances on Soft Computing and Data Mining (SCDM 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 978))

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Abstract

Research has shown that the risks of multimodal transportation depend as both on stochastic and fuzzy parameters.

Mathematical vehicles for the stochastic and fuzzy quantities are different. Therefore, a mathematical model is suggested to evaluate for the integral risk of cargo transportation. This makes it possible to use this model in support systems while making decisions on logistics of multimodal transportation. The use of a mathematical model requires careful analysis of all risks attributed to the multimodal transportation chain, possible overload options, and taking into account the entire spectrum of control activities.

After determining the most appropriate, from the point of view of risk minimization, the mode of transportation and its first links, the next stage of dynamic risk management is recursive review of the status vector of the chosen variant of the specified transportation route. For this information system it is necessary to process large data sets, while the suggested model economically uses computer resources and reduces the calculation time. The given mathematical model allows real-time changes in the transportation risk at specific stage to offer options for reducing integral risk, leverage it, in particular, choosing other routes and types of transport.

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Author information

Authors and Affiliations

  1. Private Joint-Stock Company “Higher Education Institution “Interregional Academy of Personnel Management”, Frometivska Str., 2, Kiev, 03039, Ukraine

    Vitalii Nitsenko

  2. Institute of Market Problems and Economic-Ecological Research, National Academy of Sciences of Ukraine, French Boulevard 29, Odessa, 65044, Ukraine

    Sergiy Kotenko & Iryna Hanzhurenko

  3. Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia

    Abbas Mardani

  4. Donbas State Engineering Academy, Mashinobudivnykiv blvd., 39, Kramatorsk, 84313, Ukraine

    Ihor Stashkevych & Maksym Karakai

Authors
  1. Vitalii Nitsenko
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  2. Sergiy Kotenko
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  3. Iryna Hanzhurenko
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  4. Abbas Mardani
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  5. Ihor Stashkevych
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  6. Maksym Karakai
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Corresponding author

Correspondence to Vitalii Nitsenko .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia

    Rozaida Ghazali

  2. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia

    Nazri Mohd Nawi

  3. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia

    Mustafa Mat Deris

  4. School of Information Technology, Deakin University, Geelong Waurn Ponds Campus, VIC, Australia

    Jemal H. Abawajy

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Cite this paper

Nitsenko, V., Kotenko, S., Hanzhurenko, I., Mardani, A., Stashkevych, I., Karakai, M. (2020). Mathematical Modeling of Multimodal Transportation Risks. In: Ghazali, R., Nawi, N., Deris, M., Abawajy, J. (eds) Recent Advances on Soft Computing and Data Mining. SCDM 2020. Advances in Intelligent Systems and Computing, vol 978. Springer, Cham. https://doi.org/10.1007/978-3-030-36056-6_41

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