Journal is indexed in following databases:
- SCOPUS
- Web of Science Core Collection - Journal Citation Reports
- EBSCOhost
- Directory of Open Access Journals
- TRID Database - Transportation Research Board
- Index Copernicus Journals Master List
- BazTech
- Google Scholar
2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Routing Planning As An Application Of Graph Theory with Fuzzy Logic
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: The routing planning one of the classic problems in graph theory. Its application have various practical uses ranging from the transportation, civil engineering and other applications. The resolution of this paper is to find a solution for route planning in a transport networks, where the description of tracks, factor of safety and travel time are ambiguous. In the study the ranking system based on the theory of possibility is proposed.
KEYWORDS: Fuzzy Logic, Route Planning, Graph Theory, Dijkstra’s Algorithm, Path Selection, Routing, Transport Networks, Innovative Method
REFERENCES
Boominathan, P., Kanchan, A., 2014. Routing Planning As An Application Of Graph Theory. International journal of scientific & technology research 3, 61–66.
Caha, J., Dvorsky, J., 2015. Optimal path problem with possibilistic weights, in: Geoinformatics for Intelligent Transportation, Lecture Notes in Geoinformation and Cartography. Springer International Publishing, pp. 39–50.
Dubois, D., Prade, H., 1983. Ranking Fuzzy Numbers in the Setting of Possibility Theory. Information Sciences 30, 183–224.
Ghatee, M., Hashemi, S.M., 2009. Application of fuzzy minimum cost flow problems to network design under uncertainty. Fuzzy Sets and Systems 160, 3263–3289.
Moore, R.E., Kearfott, R.B., Cloud, M.J., 2009. Introduction to interval analysis. Society for Industrial and Applied Mathematics, Philadelphia, PA.
Myna, R., 2015. Application of Fuzzy Graph in Traffic. International Journal of Scientific & Engineering Research 6, 1692–1696.
Neumann, T., 2016. The Shortest Path Problem with Uncertain Information in Transport Networks, in: Mikulski, J. (Ed.), Challenge of Transport Telematics, Communications in Computer and Information Science. Springer International Publishing, pp. 475–486.
Rosenfeld, A., 1975. Fuzzy graphs, in: Zadeh, L.A., Fu, K.S., Shimura, M. (Eds.), Fuzzy Sets and Their Applications. Academic Press, New York, pp. 77–95.
Sunitha, M.S., Sunil, M., 2013. Fuzzy Graph Theory: A Survey. Annals of Pure and Applied Mathematics 4, 92–110.
Zadeh, L.A., 1975. The concept of a linguistic variable and its application to approximate reasoning. Information Sciences 8, 199–249.
Citation note:
Neumann T.: Routing Planning As An Application Of Graph Theory with Fuzzy Logic. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 10, No. 4, doi:10.12716/1001.10.04.17, pp. 661-664, 2016
Authors in other databases:
56825238000
OSCcDNYAAAAJOther publications of authors:
File downloaded 2857 times
