Analysis of Graph Searching Algorithms for Route Planning in Inland Navigation
Author(s) -
Witold Kazimierski,
Agnieszka Sawczak,
Natalia Wawrzyniak
Publication year - 2015
Publication title -
transnav the international journal on marine navigation and safety of sea transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.253
H-Index - 5
eISSN - 2083-6481
pISSN - 2083-6473
DOI - 10.12716/1001.09.02.17
Subject(s) - raster graphics , computer science , graph , nautical chart , automation , route planning , data mining , algorithm , theoretical computer science , artificial intelligence , chart , engineering , mathematics , transport engineering , mechanical engineering , statistics
Route planning is one of the core functionalities of modern navigational systems also in inland waters. There is a possibility of at least partial automation of this process with the use of graph searching algorithms. Main problem here is to create a graph based on nautical spatial data. The paper presents research on examining different graph searching methods for inland waters. The concept of using combined approach for vector and raster data is given, followed by research results for raster data.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom