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Subject
News
May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.
May 15, 2026
Preserving Rationality in a Period of Turbulence
The HSE International Laboratory for Logic, Linguistics and Formal Philosophy studies logic and rationality in a transformed world characterised by a diversity of logical systems and rational agents. The laboratory supports and develops academic ties with Russian and international partners. The HSE News Service spoke with the head of the laboratory, Prof. Elena Dragalina-Chernaya, about its work.

 

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Адаптивные динамические транспортные модели – «цифровые двойники» транспортной ситуации для управления городской мобильностью в режиме реального времени

С. 64–69.
Швецов В., Prokhorov A., Морозов В. П., Дагаева М.

The article examines the information and analytical system TransInfo and the digital platform RITM3 developed by the SIMETRA Company for the optimization of urban transport infrastructure management. The authors suggest that the introduction of dynamic transport models should be regarded as an integral component of contemporary urban development. They also highlight the value of integrating diverse planning and management systems into a unified digital platform capable of rapidly analyzing and forecasting traffic flows in real time. The article presents successful applications of these systems in Moscow and other Russian cities, confirming their effectiveness. The authors conclude that Russian cities have access to technologies and tools to implement dynamic transport models, emphasizing the importance of transitioning to high-quality predictive transport analytics to improve the safety and comfort of citizens.

Language: Russian
Text on another site
Keywords: динамические модели городских системМатематическое моделирование транспортных потоковтранспортная модельтранспортное моделированиеTransport modelTransport Modelingинтеграционная платформацифровой двойникмультимодальная математическая транспортная модельЦифровая платформа транспортного комплексаdigital twinstransport modellingЦифровые двойники городовDynamic Network Loading

In book

Международный форум KAZAN DIGITAL WEEK – 2024: сборник материалов: Ч.1
Ushakov M. ОСП «НЦБЖД АН РТ», 2024.
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