Published on: 2026-04-28
Source: Saint Petersburg State University of Architecture and Civil Engineering –
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Ekaterina Krasnogortseva and Karina Sarkisova
At the Russian University of Transport (RUT (MIIT)), the All-Russian competition “Transport of the Future” has been completed. The competition is designed to increase interest in the transport industry among youth, giving participants the opportunity to realize their creative potential through working on projects related to real transport challenges.
A first-year student of the automotive and road faculty of SPBGASU, specializing in “Automobile Roads,” participated in the competition,Karina SarkisovaиEkaterina Krasnogortseva.Karina tookfirst placeIn the nomination “Urban and regional transport systems”, age category up to 23 years. Her research “Development of software for assessing the safety of entries and exits from residential complexes” is devoted to the creation of specialized software that will help analyze and minimize risks associated with the movement of transport at the entrances and exits of residential zones. The program takes into account many factors: traffic intensity, typical traffic organization schemes, and features of territory planning (radii of turns, width of driveways, location of pedestrian zones).Using algorithms, the program identifies potentially dangerous situations and provides recommendations for optimizing movement. The ultimate goal is to improve the safety of the street-road network, reduce the likelihood of traffic accidents and traffic jams.
Ekaterina Krasnogortseva presented a work on the topic “Integration of intellectual algorithms and infrastructural solutions into the general urban transport system with the aim of improving road traffic safety with the participation of VATS” in the nomination “Digital and intellectual transport systems,” age category up to 23 years. The research is dedicated to creating a unified intellectual system capable of increasing road traffic safety considering the introduction of highly automated transport means (VATS).The essence of the research is to combine the algorithms of intelligent transport systems (ITS) and analyze data from the existing transport infrastructure: road sensors, traffic lights, video surveillance systems, and navigation.
Intelligent algorithms allow for taking into account the behavior features of highly automated vehicles: their ability to respond quickly, exchange data among themselves and with the infrastructure, as well as potential risks associated with their interaction with conventional cars and pedestrians. Infrastructure solutions include installing sensors for data exchange between CAVs and the urban management system, creating digital maps with a detailed description of road conditions.All this will allow synchronizing the movement of all road traffic participants, minimizing conflicts between VATs and other vehicles, and promptly responding to emergency situations.
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