References
- Centre For Budapest Transport (BKK), 2011-2017. Centre for Budapest Transport (BKK) - For developers. [Online] Available at: http://www.bkk.hu/en/developers/ [Accessed 10 01 2017].
- Dijkstra E.W. 1959. A Note on Two Problems in Connexion with Graphs. Numerische Mathematik, 269-271.10.1007/BF01386390
- Dorigo M. 1992. “Optimization, learning and natural algorithms” (in Italian). Dipartimento di Elettronica, Politecnico di Milano, Italy: s.n.
- Dorigo M., Blum C. 2005. Ant colony optimization theory: A survey. Theoretical Computer Science 344, 243-278.
- Esztergár-Kiss D., Csiszár C. 2015. Evaluation of multimodal journey planners and definition of service levels. International journal of intelligent transportation systems research, 13(3), 154-165.
- Friedrich M. 1994. Rechnergestütztes Entwurfsverfahren für den ÖPNV im ländlichen Raum (Dissertation), München: Schriftenreihe des Lehrstuhls für Verkehrs- und Stadtplanung, Heft 5, Technische Universität München.
- Google Inc. 2017. Google play. [Online] Available at: https://play.google.com/store/apps/details?id=com.waze [Accessed 20 01 2017].
- Hernáth Z. 2012. Real-time adaptive A* routeplanning algorithm (in hungarian: Valós idejű adaptív A* útkeresési algoritmus). Budapest(Budapest): Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics (VIK), Department of Measurement and Information Systems (MIT), Intelligent Systems Research Group (in hun:BME VIK MIT Intelligens Rendszerek Kutatócsoport).
- Högberg P. 1976. Estimation of parameters in models for traffic prediction: A non-linear regression approach. Transportation Research, 10(4), 263-265.10.1016/0041-1647(76)90059-9
- Katona G., Juhász J. 2017. User habit effected multimodal route planning. In: 34th International Colloquium on Advanced Manufacturing and Repairing Technologies in Vehicle Industry. Budapest: Budapest University of Technology and Economics Faculty of Transportation Engineering and Vehicle Engineering Department of Automotive Technologies, 69-72.
- Katona G., Lénárt B., Juhász J., 2016. Multimodális útvonaltervezés. In: Közlekedéstudományi Konferencia. Győr: Széchenyi István Egyetem, 367-379.
- Katona G., Lénárt B., Juhász J. 2015. Compare Ant-colony and Genetic algorithm for shortest path problem and introduce their parallel implementations. Budapest, Budapest University of Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, 312-319.
- Kirchler D. 2013. Effcient routing on multi-modal transportation networks. Ecole Polytechnique X: s.n.
- Noreikis M., Butkus P., Nurminen J.K. 2014. In-Vehicle Application for Multimodal Route Planning and Analysis, Aalto: Aalto University, Finland.10.1109/CloudNet.2014.6969020
- Podobni K. 2009. Algorithms for solving shortest path problem (in hungarian: Legrövidebb útkereső algoritmusok diplomamunka). Budapest(Budapest): Eötvös Loránd University, Faculty of Science (in hungarian: Eötvös Loránd Tudományegyetem, Természettudományi Kar).
- PTV AG, 2014. PTV VISUM 14 Manual, 76131 Karlsruhe Germany: PTV AG, Karlsruhe, Germany.
- Sheffi Y. 1985. Urban transportation network: Equilibrium analysis with mathematical programming methods. Englewood Cliffs, N.J. 07632: Prentice-Hall, Inc..
- Yu H., Lu F. 2011. Multi-modal route planning approach with an improved genetic algorithm. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 38(2), 343-348.
- Zhang J., Arentze T., Timmermans H. 2012. A Multimodal Transport Network Model for Advanced Traveler Information System. Journal of Ubiquitous Systems & Pervasive Networks, 4(1), 21-47.