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Transport Problems
Silesian University of Technology
Subject: Economics, Transportation, Transportation Science & Technology
eISSN: 2300-861X
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FORECASTING THE OPERATIONAL ACTIVITIES OF THE SEA PASSENGER TERMINAL USING INTELLIGENT TECHNOLOGIES
Srećko KRILE / Nikolai MAIOROV * / Vladimir FETISOV
Keywords : transport processes, mathematical modeling, simulation, passenger flow simulation, intelligent transport process
Citation Information : Transport Problems. Volume 13, Issue 1, Pages 27-36, DOI: https://doi.org/10.21307/tp.2018.13.1.3
License : (CC BY 4.0)
Received Date : 23-February-2017 / Accepted: 15-March-2018 / Published Online: 23-March-2018
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ARTICLE
ABSTRACT
Modern transport systems are characterized by the development and implementation of intelligent transport technologies. Today, dynamic forecast models are not used in practice in the operation of a passenger terminal. Decision making is based on some regulatory values for passenger traffic, but this is not sufficient for efficient terminal management. Modern passenger terminals are characterized by dynamic process variability and consideration of diverse options, taking into account the criteria of safety, reliability analysis, and the continuous research of passenger processing. For any modern marine passenger terminal, it is necessary to use the tool to simulate passenger flows in dynamics. Only in this way it is possible to obtain the analytical information and use it for decision making when solving the problem of the amount of personnel required for passenger service, transport safety, some forecasting tasks and so on. Of particular relevance is the choice of the mathematical transport model and the practical conditions for the implementation of the model in the real terminal operation. In this article, the analysis technique of intelligent simulation-based terminal services provides a new mathematical model of passenger movement inside the terminal and presents a new software instrument. Moreover, the conditions of implementation of some transportation models during the operation of marine passenger terminal are examined. The study represents an example of analytical information used for the forecast of the terminal operations, the analysis of the workload and the efficiency of the organization of the marine terminal.
FIGURES & TABLES
REFERENCES
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