Modeling of reliability of logistic systems of urban freight transportation taking into account street congestion
DOI:
https://doi.org/10.15587/1729-4061.2019.175064Keywords:
freight transportation, reliability coefficient, route quality factor, urban traffic jams, urban street networkAbstract
Mathematical formulation of the problem of forming urban freight transportation is performed. The structure of the system information model is developed, which takes into account material, energy and information flows. Mathematical expressions for calculating the criterion for choosing rational routes ‒ route quality factor are presented. The criterion takes into account the capabilities of the logistics center (information content), cargo weight, congestion (traffic jams), transportation distance and actual delivery time. A distinguishing feature is that it is determined online and takes into account the congestion dynamics of routes during a work shift.
The dynamic model of delays in decision making in the logistics chains of urban freight transportation is developed. The model allows calculating the processing time of transportation requests and transportation time itself. It is shown that the total time of freight delivery consists of the travelling time of the vehicle, taking into account route resistance and delay time in all logistic chains of the system.
The mathematical model is developed for assessing the reliability of urban freight transportation, taking into account street congestion. The model operates online and allows determining the parameters of the transport process, including traffic jams on city streets.
The reliability criterion of the logistics system of urban freight transportation ‒ reliability coefficient is proposed. The criterion takes into account the travelling time of the vehicle and the delay time of receipt of transportation requests at the logistics center, and the time of delays at the transport company. It is shown that in the absence of delays in logistics chains, the reliability coefficient is equal to unity, and if there is a delay, the reliability coefficient is less than unity. The physical significance of the reliability criterion is determined. It is the share of non-fulfillment of transportation requests on time.
References
- Shramenko, N. Y. (2017). The methodological aspect of the study feasibility of intermodal technology of cargo delivery in international traffic. Scientific Bulletin of National Mining University, 4 (160), 145‒150.
- Shramenko, N. Y. (2018). Mathematical model of the logistics chain for the delivery of bulk cargo by rail transport. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 5, 136–141. doi: https://doi.org/10.29202/nvngu/2018-5/15
- Shramenko, N. Y. (2015). Effect of process-dependent parameters of the handling-and-storage facility operation on the cargo handling cost. Eastern-European Journal of Enterprise Technologies, 5 (3 (77)), 43‒47. 2015. doi: https://doi.org/10.15587/1729-4061.2015.51396
- Zhang, R. M., Huang, L. (2017). Application of the freight rate on freight flow forecast. Advances in Transportation Studies, 3, 61–68.
- Yuan, Y., Zhao, Q. Y., Wan, X. Y. (2018). Evaluating transportation information service products through artificial neural networks. Advances in Transportation Studies, 3, 59–68.
- Sun, S., Liu, C. (2016). Application of improved storage technology in Intelligent Transportation System. Advances in Transportation Studies, 3, 51–60.
- Wang, Z., Goodchild, A., McCormack, E. (2016). Freeway truck travel time prediction for freight planning using truck probe GPS data. European journal of transport and infrastructure research, 16 (1), 76–94.
- Combes, F., Tavasszy, L. A. (2016). Inventory theory, mode choice and network structure in freight transport. European Journal of Transport and Infrastructure Research, 16 (1), 38–52.
- Meyer, A., Sejdovic, S., Glock, K., Bender, M., Kleiner, N., Riemer, D. (2017). A disruption management system for automotive inbound networks: concepts and challenges. EURO Journal on Transportation and Logistics, 7 (1), 25–56. doi: https://doi.org/10.1007/s13676-017-0108-5
- Gao, J., Sun, J., Shi, Q. Z., Liu, F. S. (2015). A comparative reliability evaluation method for transportation network planning and design. Advances in Transportation Studies, 3, 55–64.
- Mishra, S., Tang, L., Ghader, S., Mahapatra, S., Zhang, L. (2018). Estimation and valuation of travel time reliability for transportation planning applications. Case Studies on Transport Policy, 6 (1), 51–62. doi: https://doi.org/10.1016/j.cstp.2017.11.005
- Danchuk, V. D., Kryvenko, V. I., Oliynyk, R. V., Taraban, S. M. (2010). Elektrotekhnichna model doslidzhennia transportnykh potokiv. Visnyk Natsionalnoho transportnoho universytetu, 21 (2), 28–32.
- Danchuk, V., Kryvenko, V., Oliynyk, R., Taraban, S. (2015). Electric simulation of urban road traffic flows. Visnyk Natsionalnoho tekhnichnoho universytetu "Kharkivskyi politekhnichnyi instytut". Seriya: Novi rishennia v suchasnykh tekhnolohiyakh, 46, 109–114.
- Kutiya, O. V. (2019). Development of a mathematical model of urban freight transportation. Technical service of agriculture, forestry and transport systems, 15, 203–212.
- Vojtov, V., Berezchnaja, N., Kravcov, A., Volkova, T. (2018). Evaluation of the Reliability of Transport Service of Logistics Chains. International Journal of Engineering & Technology, 7 (4.3), 270–274. doi: https://doi.org/10.14419/ijet.v7i4.3.19802
- Kutiya, O. V. (2019). Development of a dynamic model of decision-making delays in the logistics chains of urban freight traffic. Technical service of agriculture, forestry and transport systems, 16, 37–47.
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Copyright (c) 2019 Viktor Vojtov, Viktor Vojtov, Olesya Kutiya, Natalija Berezhnaja, Natalija Berezhnaja, Mykola Karnaukh, Mykola Karnaukh, Oksana Bilyaeva, Oksana Bilyaeva
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