Ekaterina Krasnogortseva and Karina Sarkisova
The All-Russian "Transport of the Future" competition concluded at the Russian University of Transport (RUT (MIIT)). The competition aims to increase interest in the transport industry among young people and give participants the opportunity to realize their creative potential through projects related to real-world transportation challenges.
First-year students of the SPbGASU Faculty of Automobile and Road Building, majoring in Roads field of study, Karina Sarkisova and Ekaterina Krasnogortseva, took part in the competition. Karina took first place in the "Urban and Regional Transport Systems" category, under 23 age category. Her research, "Development of Software for Assessing the Safety of Entrances and Exits of Residential Complexes," focuses on creating specialized software that will help analyze and minimize risks associated with traffic at the entrances and exits of residential areas. The program takes into account multiple factors, including traffic volume, typical traffic patterns, and territorial layout features (turn radii, driveway widths, and pedestrian zone locations). Using the system's algorithms, the program identifies potentially hazardous situations and provides recommendations for traffic optimization. The ultimate goal is to improve the safety of the street and road network and reduce the likelihood of accidents and congestion.
Ekaterina Krasnogortseva presented her paper on "Integration of Intelligent Algorithms and Infrastructure Solutions into a Shared Urban Transport System to Improve Road Safety with the Use of Intelligent Transport Systems" in the "Digital and Intelligent Transport Systems" category, age category under 23. The study focused on the creation of a unified intelligent system capable of improving road safety, taking into account the introduction of highly automated vehicles (HAVs). The research focused on integrating intelligent transport system (ITS) algorithms and data analysis with existing transport infrastructure: road sensors, traffic lights, video surveillance, and navigation systems.
Intelligent algorithms will take into account the specific behavior of highly automated vehicles: their ability to respond quickly, exchange data with each other and with infrastructure, and the potential risks associated with their interaction with conventional vehicles and pedestrians. Infrastructure solutions include the installation of sensors for data exchange between the automated vehicles and the city management system, and the creation of digital maps with a detailed description of road conditions. All this will allow for the synchronization of the movement of all road users, minimize conflicts between automated vehicles and other transport, and promptly respond to emergency situations.