Smooth Seamless Transport System – the Innovative Model of the Future: Nature, Essence, Quality Determinants

Лапидус, Б. М.; Лапидус, Л.В.

doi:10.38050/01300105201723

Cited by 12 publications

(3 citation statements)

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“…5. В свете цифровизации транспортного комплекса произойдет интеграция транспортных систем отдельных видов транспорта в единую «бесшовную» систему [4,5], и железнодорожный транспорт претендует на ведущую роль в ней.…”

Section: базы знаний как основа цифровых платформunclassified

Ontological Approach to the Development of Unified Knowledge Base of Multimodal Transportations

Badeckiy

Medved'

2023

Proceedings of Petersburg Transport University

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Purpose: In the frames of ongoing digital transformation of transport complex in a whole and railway transport in particular, to give brief analytical characterization of being developed digital platforms and services. To consider promising technologies that are either at launch stage or on the way to the peak of overpriced expectations as to technological hype cycle of Gartner Research Company. To give an example of unified knowledge base as a basis of digital platform for multimodal transportation. Methods: Methods for visual structuring of information were used, in particular, mental maps (intellect-maps). To represent subject area ontology, a semantic network was used as a method for knowledge representation. Results: The pursued analysis of being developed and existing digital platforms and services has shown that besides data, there should lie at their basis more complex informational units — an active knowledge. This requires the method of data integration from disparate sources, their integration and circulation as within one industry as well as between various industries in order of knowledge generation and spread. In view of work specifics of transport various kinds, participating in multimodal transportations, the subject area, uniting all kinds of transport, should be chosen for this. The application of "cargo transportation" subject area has been justified by virtue of which, it is necessary to create management system of cargo flows on railway transport. Ontology fragment, describing "cargo transportation" domain for railway transport, has been worked out. Practical significance: The necessity of applying active knowledge to create autonomous intellectual productions on transport is shown. The use of knowledge bases, established on ontologies, will allow to raise the level of interaction of transport various kinds in "narrow" places during cargo transshipment as well as to expand the range of services, provided to customers.

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Section: базы знаний как основа цифровых платформunclassified

Ontological Approach to the Development of Unified Knowledge Base of Multimodal Transportations

Badeckiy

Medved'

2023

Proceedings of Petersburg Transport University

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“…In addition, the basis for the development of intelligent transport systems and a digital platform for the transport complex of the Russian Federation is being formed [10]. In the future, increasing the level of digitalization of transportation will make it possible to ensure the formation of intermodal smooth and seamless integration of transport, a description of which is given in [11]. Thus, the integration of processes in transport systems at the data level will increase the volume and quality of data, which, in turn, will be in demand for managing sustainable development processes [12].…”

Section: Introductionmentioning

confidence: 99%

Information models for ensuring the sustainability of transport operations formation in the context of digitalization

Mukhina,

Burmenko,

Gelek

2024

ITM Web Conf.

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The conditions for the formation of an information model for ensuring transport activities in the context of digitalization and the digital transformation of the transport industry are considered. It is shown that the development of information support will allow switching to transport from information systems that perform a passive function and information support for management, to active, predictive management systems based on increasing the degree of use of available information and its verification.

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“…Ключевыми положениями парадигмы MaaS являются: 1) транспорт -услуга; 2) услуга инновационной мобильности предоставляется через сервис, зачастую через единую платформу мобильности; 3) одной из ключевых сопутствующих услуг является осуществление маршрутизации с использованием разных видов транспорта на основе критериев «оптимизация затрат времени на поездку из пункта А в пункт В», «сохранение качества транспортных услуг при пересадке на разные виды транспорта» и др. Особую актуальность MaaS представляет для построения умных городов, что требует новых моделей сотрудничества от отдельных частных поставщиков транспортных услуг до объединения транспортных служб в единую бесшовную систему [1].…”

Section: Introductionunclassified

Transformation of Business Models in the Automotive Industry in the Context of the Development of Unmanned Technologies

Lapidus,

Shorokhova

2023

I.I.I

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A typical feature of the digital economy is the transformation of business models in all sectors of the economy under the influence of the development of digital technologies, the diffusion of different classes of artificial intelligence solutions. In the automotive industry, the driver of such transformations are unmanned vehicle control systems and the growing influence of the “mobility as a service” (MaaS) paradigm, which has gained particular popularity in recent years. The growing MaaS market and the shift of consumer value from the ownership model to the use model form a new mobility, according to which the transport system depends on the implementation of the principles of the sharing economy concept. Sharing begins to play an important role and becomes dominant in the formation of new consumer patterns, which directly affects the business models of both Russian and foreign automakers. The growing maturity of unmanned technologies also has an impact, which is reflected in strategic partnerships and mergers and acquisitions (M&A) transactions, including with startups specializing in unmanned driving technologies. The purpose of this study is to identify and systematize the conceptual foundations of MaaS and the practice of transforming business processes in the context of the development of unmanned technologies. The article offers recommendations on the formation of innovative business models of automakers, taking into account the ongoing changes in the technological component of the external environment under the influence of the development of technological solutions of artificial intelligence in the MaaS paradigm. Special attention is paid to the development of proposals for the successful transformation of business models of leading automakers, taking into account the global trends of MaaS and the growing maturity of unmanned technologies. When conducting the study, the authors relied on scientific works of domestic and foreign scientists, documents with state initiatives on the use of unmanned technologies on public roads in Australia, Great Britain, Germany, China, the Netherlands, the Russian Federation, the USA, and South Korea. The information base was compiled by reports of consulting companies: McKinsey, BCG, KPMG, PwC, statistical data of EU Industrial R&D Investment Scoreboard, NAIC, OICA.

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Smooth Seamless Transport System – the Innovative Model of the Future: Nature, Essence, Quality Determinants

Cited by 12 publications

References 0 publications

Ontological Approach to the Development of Unified Knowledge Base of Multimodal Transportations

Ontological Approach to the Development of Unified Knowledge Base of Multimodal Transportations

Information models for ensuring the sustainability of transport operations formation in the context of digitalization

Transformation of Business Models in the Automotive Industry in the Context of the Development of Unmanned Technologies

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