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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 523))

Abstract

Transport Systems (TS) and the processes of movement of goods from the point of origin to destination which take place in those systems determine the competitiveness of companies and businesses using them. Transport networks which make up a TS encompass various modes of transport, e.g., road vehicles, trains, freight cars, containers, material packages, etc. Together, these modes form streams of traffic in the system. Assuming that the structure of a TS network determines its behavior, in this study, we attempt to develop a declarative model which would enable analysis of the relationships between the structure of a TS and its potential behavior. The problem in question boils down to determining sufficient conditions ensuring smooth traffic flow in a transport network with a fractal structure. The proposed approach, which assumes a recursive, fractal network structure, enables rapid prototyping, in polynomial time, of alternative transport routes and associated schedules. An example is used to illustrate the quantitative and qualitative relationships between the morphological characteristics of the investigated TS structures and the functional parameters of the transport processes carried out in them.

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References

  1. Bahrehdar, S.A., Moghaddam, H.R.G.: A decision support system for urban journey planning in multimodal public transit network. Int. J. Adv. Railway Eng. 2(1), 58–71 (2014)

    Google Scholar 

  2. Banaszak, Z., Bocewicz, G.: Declarative modeling for production orders portfolio scheduling. Found. Manage. 6(3), 7–24 (2014)

    Article  Google Scholar 

  3. Bocewicz, G., Banaszak, Z., Pawlewski, P.: Multimodal cyclic processes scheduling in fractal structure networks environment. In: Proceedings of the 19th World Congress: The International Federation of Automatic Control, pp. 8939–8946. Cape Town (2014)

    Google Scholar 

  4. Bocewicz, G.: Robustness of multimodal transportation networks. Eksploatacja i Niezawodność – Maintenance Reliab. 16(2), 259–269 (2014)

    Google Scholar 

  5. Bocewicz, G., Muszyński, W., Banaszak, Z.: Models of multimodal networks and transport processes. Bull. Pol. Acad. Sci. Tech. Sci. 63(3), 636–650 (2015)

    Google Scholar 

  6. Buhl, J., Gautrais, J., Reeves, N., Sol´e, R.V., Valverde, S., Kuntz, P., Theraulaz, G.: Topological patterns in street networks of self-organized urban settlements. Eur. Phys. J. B 49, 513–522 (2006)

    Article  Google Scholar 

  7. Courtat, T.: Walk on city maps—mathematical and physical phenomenology of the city, a geometrical approach. In: Modeling and Simulation. Université Paris-Diderot, Paris VII (2012)

    Google Scholar 

  8. Dang, Q.-V., Nielsen, I., Steger-Jensen, K., Madsen, O.: Scheduling a single mobile robot for part-feeding tasks of production lines. J. Intell. Manuf. 25(6), 1271–1287 (2014)

    Article  Google Scholar 

  9. Duy, N.P., Currie, G., Young, W.: New method for evaluating public transport congestion relief. In: Proceedings of the Conference of Australian Institutes of Transport Research (CAITR), 33rd, 2015. Melbourne, Victoria, Australia (2015)

    Google Scholar 

  10. Relich, M.: A computational intelligence approach to predicting new product success. In: Proceedings of the 11th International Conference on Strategic Management and its Support by Information Systems, pp. 142–150 (2015)

    Google Scholar 

  11. Sandkuhl, K., Kirikova, M.: Analysing enterprise models from a fractal organisation perspective—potentials and limitations. In: Lecture Notes in Business Information Processing, vol. 92, pp. 193–207 (2011)

    Google Scholar 

  12. Sitek, P., Wikarek, J.: A hybrid framework for the modelling and optimisation of decision problems in sustainable supply chain management. Int. J. Prod. Res. 1–18 (2015)

    Google Scholar 

  13. Sun, Y., Maoxiang Lang, M., Wang, D.: Optimization models and solution algorithms for freight routing planning problem in the multi-modal transportation networks: a review of the state-of-the-art. Open Civ. Eng. J. 9, 714–723 (2015)

    Article  Google Scholar 

  14. Susan, J.P.: Vehicle re-routing strategies for congestion avoidance. New Jersey Institute of Technology, 139 pages (2014)

    Google Scholar 

  15. Zhang, J., Liao, F., Arentze, T., Timmermans, H.: A multimodal transport network model for advanced traveler information systems. Procedia Soc. Behav. Sci. 20, 313–322 (2011)

    Article  Google Scholar 

  16. http://www.gostreetmaps.com/new-york.html

  17. http://www.mapsguides.com/m/brazil_detailed_street_map_brasilia_en.php

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Correspondence to Grzegorz Bocewicz .

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Bocewicz, G., Banaszak, Z., Nielsen, I. (2017). Reduction of Congestion in Transport Networks with a Fractal Structure. In: Świątek, J., Wilimowska, Z., Borzemski, L., Grzech, A. (eds) Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part III. Advances in Intelligent Systems and Computing, vol 523. Springer, Cham. https://doi.org/10.1007/978-3-319-46589-0_15

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  • DOI: https://doi.org/10.1007/978-3-319-46589-0_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46588-3

  • Online ISBN: 978-3-319-46589-0

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