Mechanisms for digital transformation of intelligent transport systems


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SAMDU NOZIMA

CONCLUSION


Thus, the study allows us to formulate the following main conclusions:

  1. Based on the analysis of economic literature, the features of the change in the technological order under the influence of innovative, breakthrough technologies are revealed, the decisive role of infrastructure in the process of transition to each new technological order is emphasized, since such a transition is carried out on the basis of the existing infrastructure by expanding and transforming it, as a result of which the existing infrastructure barriers are overcome. restrictions, and a fundamentally new infrastructure is being created that takes into account scientific and technical achievements and meets the goals and needs of the effective functioning of the economy.

  2. Taking into account the identified features of the current stage of development, the definition of the transport system is formulated as a transport and logistics system that has innovative features and is an infrastructural element of the high-speed economy, while ensuring the generation of added value at all stages of the transport and logistics chain through the integration of products and services provided within the framework of a new technological structure.

  3. As a result of the analysis of global trends in the economy of the future, which form new challenges and opportunities, the main promising directions for the development of transport systems are identified, related to the formation of new concepts and technologies for the movement of goods and passengers, the development of unmanned vehicles, electric transport technologies, intelligent transport, market “uberization” passenger and freight transportation, the development of multimodal integration of transportation by various modes of transport in regional, interregional and international traffic and the creation of large multimodal centers.

The necessity of creating and developing an appropriate infrastructure, the foundation of which should be high-tech facilities and specialized complexes, taking into account scientific knowledge and achievements of advanced equipment and technologies, was emphasized.
4. Based on the analysis of existing approaches to understanding the digital economy, the main characteristics inherent in it, as a complex system of socio-economic relations, are identified, which include:
- the emergence as a result of the emergence of a new technological order and the impact of breakthrough technologies;
- use as a basis of digital (information) technologies and digital infrastructure that ensures their functioning;
- transformation of global and national economies, industries and services, the public sector, enterprises and human society as a whole in accordance with changing conditions;
- focus on achieving economic and social benefits, including ensuring competitiveness, increasing the efficiency of economic processes, social well-being, accelerating economic growth, increasing labor productivity, creating added value, etc.
5. Taking into account the specifics of the functioning of the transport industry, thethe main stages and directions of the digital transformation of transport systems, the consistent implementation of which will ensure a large-scale transformation of technological and organizational processes aimed at improving the efficiency of traffic organization and management of the transportation process.
6. The main tools for the digital transformation of transport systems, which include cloud technologies, distributed registry technologies, Big Data, the concept of the Internet of Things, augmented and virtual reality technologies, artificial intelligence and additive technologies, are analyzed, their features and characteristics, existing limitations as a technological , and of a legal nature, preventing their wide distribution at the present stage of development.

  1. Based on the analysis of digital transformation tools, promising areas of their application in transport systems, as well as the main effects from their implementation, generated by the synergy of interaction, are identified and described.
References

  1. The NIST Definition of Cloud Computing. NIST Special Publication 800-145. – September, 2011. https://bigdatawg.nist.gov/_uploadfiles/M0006_v1_3333767255.pdf

  2. Hancock M., Vaizey E. Distributed Ledger Technology: beyond block chain. – London, 2016. – 88 р. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/492972/gs-16-1-distributed-ledger-technology.pdf

  3. McNulty E. Understanding Big Data: The seven V’s. – 22 May, 2014.

  4. http://dataconomy.com/seven-vs-big-data/

  5. Savelyev A.I. Problems of application of legislation on personal data in the era of "Big Data" (Big Data) // Pravo. Journal Higher School of Economics. – 2015. – No. 1. – pp. 43-66.

  6. Internet of Things: textbook [text] / A.V. Roslyakov, S.V. Vanyashin, A.Yu. Grebeshkov. – Samara: PGUTI, 2015. – 200 p.

  7. Gorbunov A.L. Augmented reality in aviation / E.E. Nechaev, G. Terentsi // Applied Informatics. - 2012. – No. 4. – pp. 67-80.

  8. Burakov M.V. Neural networks and neurocontrollers: textbook. Manual / M. V. Burakov. – St. Petersburg: GUAP, 2013. – 284 p.

  9. Zlenko M.A. Additive technologies in mechanical engineering / M.V. Nagaytsev, V.M. Dovbysh // Manual for engineers. – M.: SSC RF FSUE "NAMI", 2015. – 220 s



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