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 contest “Transport of the Future” has been completed. The contest is designed to increase interest in the transport industry among young people, 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 entry-exit and exit-entry from residential complexes” is dedicated 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 scheme, and features of territory planning (radii of turns, width of driveways, location of pedestrian zones).Using system algorithms, the program identifies potentially dangerous situations and provides recommendations for traffic optimization. The ultimate goal is to improve the safety of the street-road network, reduce the likelihood of traffic accidents and congestion.
Ekaterina Krasnogortseva delivered a presentation on the topic “Integration of intelligent 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 intelligent transport systems,” age category up to 23 years. The research is dedicated to creating a unified intelligent system capable of enhancing road traffic safety taking into account the implementation of highly automated transport means (VATS).The essence of the research is to combine the algorithms of intelligent transport systems (ITS) and data analysis with the existing transport infrastructure: road sensors, traffic lights, video surveillance, and navigation systems.
Intellectual algorithms allow for considering the behavior characteristics 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 the installation of sensors for data exchange between automated vehicles and the city management system, creating digital maps with detailed descriptions of road conditions.This will allow synchronizing the movement of all road traffic participants, minimizing conflicts between VAC and other vehicles, and promptly responding to emergencies.
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