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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Effects of Elevation Changes and Multilevel Structures on Vehicular Signal Propagation

FUTURE TRANSPORTATION. 2026. Vol. 6. No. 5. Article 225.
Stepanyants V., Andrey V. Fizulin, Chibirov A., Amerikanov A., Romanov A.

Reliable Vehicle-to-Everything (V2X) evaluation requires propagation models that represent terrain and multilevel infrastructure. Most integrated vehicular simulators still rely on planar models, but the magnitude of the resulting bias is unclear. This study quantitatively compares flattened two-dimensional (2D) and terrain-aware three-dimensional (3D) variants of three scenarios using identical Sionna RT settings. The pipeline combines OpenStreetMap and digital elevation data, Blender/Blosm scene construction, and SUMO mobility traces. The scenarios represent a 4 km mountain pass, an overpass bridge, and an underground tunnel. Path gain is computed at 5.9 GHz; received signal strength and link outage are then derived using a 23 dBm transmit power and a −94 dBm receiver sensitivity. The outage rate increases from 21% to 30% for the mountain pass, from 20% to 33% for the bridge, and from 0% to 80% for the tunnel with 3D geometry. Mean signal-loss discrepancies reach approximately 9 dB for the mountain pass and 10 dB for the bridge. GPU acceleration reduces per-frame processing time by approximately one order of magnitude in a controlled bridge benchmark. The results show that 3D-aware propagation modeling is necessary for credible assessment of V2X applications in environments with elevation changes.

Research target: Computer Science Electronics and Electrical Engineering
Language: English
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Keywords: V2Xconnected vehiclesТрассировка лучейray tracingподключенный транспортSionna RTSionna RTV2X3D propagation modelingterrain-aware simulationvehicular communicationsтрехмерные модели распространения сигналов
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