Open AccessInformation intelligent system of organization and management of arctic sea cargo transportation
Author(s) -
E Yu Sobolevskaya,
Н Г Левченко,
S V Glushkov
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/918/1/012042
Subject(s) - fuzzy logic , computer science , arctic , marine transportation , sample (material) , operations research , intelligent transportation system , navigation system , process (computing) , transport engineering , real time computing , artificial intelligence , engineering , geology , chemistry , chromatography , operating system , oceanography
To organize, support and manage the process of cargo transportation, taking into account the difficult navigation conditions in the Arctic and Subarctic of Russia, an information intelligent system for organizing and managing sea cargo transportation has been developed: architecture of the information intelligent system; a module for calculating the route between two ports, taking into account the ice situation, based on the A-star algorithm for finding the shortest route between two ports; a module for calculating the cost and the number of travel days for sea cargo transportation, taking into account the ice situation, the modules are developed on the basis of fuzzy logic using a Mamdani fuzzy logic model; a module that, on the basis of the first and second modules, calculates a faster or a more cost-effective route depending on the season, taking into account the current ice situation. To check the adequacy of the Mamdani fuzzy logic model, a sample was formed based on the analysis of data from the captain’s voyage reports. Each voyage report contains information on the navigation conditions on the route, which allowed us to create a sample consisting of information on the actual navigation conditions.