MODELING OF SYSTEM FOR MONITORING OF RISKS IN THE TRANSPORT

Authors

DOI:

https://doi.org/10.32703/2617-9040-2021-38-236-23

Keywords:

model, modeling, information system, transport risks, monitoring of processes, semantic measures, situational-semantic measures.

Abstract

The article deals with the actual problems of modeling the processes for monitoring risks in transport. This monitoring involves determining the state of transport objects, as well as procedures for minimizing the consequences of situations caused by the onset of risks. The article discusses the problems of effective creation of system for monitoring of risks in transport based on the use of appropriate models. The article proposes modeling this system based on situational-semantic model. The approach proposed would contribute to recognition of risks and generation of management decisions to eliminate their consequences. The proposed situational-semantic model allows: to predict the behavior of complex transport objects and transport infrastructure objects; take into account the possibility of emergence of new transport objects and processes for ensuring their functioning in conditions of minimizing possible risks; respond adequately to local and global factors of influence on transport objects; dynamically change the structure of the system; take into account new data to predict the development and improvement of relevant transport objects; predict the development of processes to ensure minimization of risks and the consequences of them.

References

REFERENCES

Yurkov N.K. (2013). System approach to the organization of life cycle of complex technical systems. Reliability and quality of difficult systems: Scientific and practical. 2013(1), 27 – 35. [In Russian].

Lipaev V.V. (2010). The problems of software engineering: quality, safety, risk, economy [In Russian]. Software engineering. 2010(1), 7-20. [In Russian].

Info TS 08/17Compliance and Risk Monitoring of Transport Operations through Auditing. https://www.eiga.eu/publications/safety-informations-transport/info-ts-0817-compliance-and-risk-monitoring-of-transportoperations-

through-auditing/

Staznik A., Babich D., Bajo I. (2017). Identification and analysis of risks in transport chains.Istrazivanja i Projektovanja za Privredu. 15(1), 61–70. DOI: https://doi.org/10.5937/jaes15-12179

Nechaev V.V, Koshkarev MI. (2015). Architecture of object-oriented knowledge base intelligent systems. Educational resources and technology. 2015(1), 156–163. [In Russian].

Adema J. (2015). New Models of Knowledge Production. Open Access Publishing and Experimental Research Practices (Part III). https://openreflections.wordpress.com/2015/02/27/new-models-of-knowledge-production-open-accesspublishing-

and-experimental-research-practices-part-iii/

Types of Knowledge Representation (2021). https://www.brainkart.com/article/Types-of-Knowledge-Representation_8892/

How Important Are Semantic Networks In Artificial Intelligence (2019). https://analyticsindiamag.com/semanticnetworks-ai/

Kolodenkova A.E. (2016). The process modeling of project feasibility for information management systems using the fuzzy cognitive models. Herald of computer and information technologies 2016(6), 10–17. [In Russian].

Gorelova G.V.. (2018). A cognitive approach for modeling of complex systems. News of SFU. Technical science. 2018(3), 239–250. [In Russian].

Tkachenko O., Tkachenko К., Tkachenko O. (2020). Designing complex intelligent systems on the basis of ontological models. Proceedings of The Third International Workshop on Computer Modeling and Intelligent Systems (CMIS-2020). 266–277. 12. Tkachenko O., Tkachenko O. (2017). Some aspects of situation-semantic modeling of complex objects, processes and systems. Water transport. 2017(1), 129–133.

Bellinger G., Castro D., Mills A. (2016). Data, Information, Knowledge, and Wisdom. http://www.outsights.com/systems/dikw/dikw.htm. 14. Futia G. (2020). Semantic Models for Constructing Knowledge Graphs. https://towardsdatascience.com/semanticmodels-for-constructing-knowledge-graphs-38c0a1df316a.

Dodonov A.G., Lande D.V, Berezin B.A. (2018). A method of semantic models for constructing and using for the public opinion monitoring. Registration, storage and data processing. 20(4), 53–63. [In Ukrainian].

Published

2021-12-20

Issue

Section

Traffic management and traffic safety

How to Cite

MODELING OF SYSTEM FOR MONITORING OF RISKS IN THE TRANSPORT. (2021). Transport Systems and Technologies, 38, 239-246. https://doi.org/10.32703/2617-9040-2021-38-236-23

Most read articles by the same author(s)