Decision Support System for Robust Urban Transport Management
Piotr Wiśniewski, Krzysztof Kluza, Antoni Ligęza
DOI: http://dx.doi.org/10.15439/2017F296
Citation: Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 1069–1074 (2017)
Abstract. We present a decision support application which can be used for alternative route generation in case of tramway traffic disruptions. Our solution is based on a mixed graph network model, where vertices represent major points and edges are used to model track sections. The proposed application uses model data stored in a set of source files and enables the user to execute one of four algorithms which are useful for tramway traffic management in case of a crisis situation.
References
- B. Gontar, Z. Gontar, and A. Pamuła, “Deployment of smart city concept in Poland. Selected aspects.” Management of Organizations: Systematic Research, no. 67, pp. 39–51, 2013.
- E. Comission, “Continuity of passenger mobility following disruption of the transport system,” Brussels, 2014.
- P. Wiśniewski and A. Ligęza, “An approach to robust urban transport management. mixed graph-based model for decision support,” in International Conference on Artificial Intelligence and Soft Computing. Springer, 2017, pp. 347–356.
- S. Ernst and A. Ligęza, “A rule-based approach to robust granular planning,” in International Multiconference on Computer Science and Information Technology, Wisła, 2008, pp. 105–111.
- S. Ernst, “Artificial intelligence techniques in real-time robust route planning,” Ph.D. dissertation, AGH, Kraków, 2009.
- J. Mandziuk and C. Nejman, “Uct-based approach to capacitated vehicle routing problem,” in Artificial Intelligence and Soft Computing: 14th International Conference, ICAISC 2015, Zakopane, 2015, pp. 679–690.
- A. Adamski, “Discon: Public transport dispatching robust control,” in EWGT2013 – 16th Meeting of the EURO Working Group on Transportation, Porto, 2014, pp. 1206–1216.
- J. Żak, “Decision support systems in transportation,” in Handbook on Decision Making. Berlin Heidelberg: Springer-Verlag, 2010, pp. 249–294.
- A. Fay, “A fuzzy petri net approach to decision-making in case of railway track closures,” in IFSA World Congress and 20th NAFIPS International Conference, 2001., 2001.
- U. Blasum, M. R. Bussieck, W. Hochstättler, C. Moll, H.-H. Scheel, and T. Winter, “Scheduling trams in the morning,” Mathematical Methods of Operations Research, vol. 49, no. 1, pp. 137–148, 1999.
- T. Winter and U. Zimmermann, “Real-time dispatch of trams in storage yards,” Annals of Operations Research, vol. 96, no. 1, pp. 287–315, 2000.
- D. Lückerath, O. Ullrich, and E. Speckenmeyer, “Modeling time table based tram traffic,” Simulation Notes Europe, vol. 22, no. 2, pp. 61–68, 2012.
- T. Schlechte, “Railway track allocation: Models and algorithms,” Ph.D. dissertation, Technische Universität Berlin, Berlin, 2012.
- C. Sungur, H. B. Gökgündüz, and A. A. Altun, “Road vehicles identification and positioning system,” in 2014 Federated Conference on Computer Science and Information Systems, 2014, pp. 1353–1359.
- P. Szwed, “Metodologia SART Warda-Mellora,” [online], http://home.agh.edu.pl/~pszwed/se/sart/kss09.html
- “JUNG - Java Universal Network/Graph Framework,” [online], http://jung.sourceforge.net/. Accessed: 2016-08-12.
- C. Liebchen, “Periodic timetable optimization in public transport,” in Operations Research Proceedings 2006: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Karlsruhe, September 6–8, 2006, K.-H. Waldmann and U. M. Stocker, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007, pp. 29–36.
- A. Lubka and M. Stiasny, Atlas Tramwajów. Kolpress, 2011.
- “Longest tram enters service in Budapest,” [online], 2016, http://www.railwaygazette.com/news/single-view/view/longest-tram-enters-service-in-budapest.html. Accessed: 2017-05-07.
- J. Drogoś, “Charakterystyka sieci tramwajowej górnośląskiego okręgu przemysłowego,” in Tramwaje w Polsce. Łódź: Księży Młyn, 2013, pp. 74–87.