Functional model of an intelligent decision support system for responding to transport emergencies in the Arctic zone
Given the difficult climatic conditions in the Arctic region, there is a high risk of various types of transport accidents, which can potentially threaten the environment, population, and the entire ecosystem of coastal territories. The development of the transport infrastructure in the region makes the task of designing an integrated safety system quite urgent. Such a system shall include rescue services carrying out search and rescue operations in the region, as well as taking measures to monitor, prevent and mitigate the consequences of emergencies. In order to promptly make the right management decisions when responding to emergencies and accidents, rescue services require automation at various stages of decision-making. In this regard, it is proposed to create an intelligent decision support system that would make it possible to detect transport accidents, forecast their development, as well as justify corresponding prompt decisions. The paper determines groups of factors affecting the decision-making in responding. The authors propose a functional model of a decision support system for responding to transport accidents using the IDEF0 methodology. This system will improve the effectiveness of management decisions, timely liquidate the consequences of transport emergencies and accidents in the Arctic, and optimize the composition of rescue services’ forces and assets in the region.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
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Supplemental Notes:
- © 2021 Alexander Matveev and Ekaterina Bogdanova. Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
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Authors:
- Matveev, Alexander
- Bogdanova, Ekaterina
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Conference:
- International Conference of Arctic Transport Accessibility: Networks and Systems
- Date: 2021-6-2 to 2021-6-4
- Publication Date: 2021
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 363-369
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Serial:
- Transportation Research Procedia
- Volume: 57
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2352-1465
- Serial URL: http://www.sciencedirect.com/science/journal/23521465/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Hazards and emergency operations; Infrastructure; Intelligent transportation systems; Methodology; Multiple criteria decision making; Neural networks
- Geographic Terms: Arctic Regions
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors; Security and Emergencies;
Filing Info
- Accession Number: 01786619
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 28 2021 9:19AM