Published on: 2026-05-29
Source: Saint Petersburg State University of Architecture and Civil Engineering –
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Artyom Timofeev and Anton Veselov present their development at the exhibition
At the VII International Transport Festival “TransportFest” in St. Petersburg, students of SPbGASU presented their own development in the field of intelligent transport technologies: the “SmartUAZ” project. This is a telematic system of predictive analytics of the technical condition of a vehicle, implemented in the format of a diploma startup and aimed at early detection of vehicle malfunctions using artificial intelligence.
The authors of the project are fourth-year students specializing in “Operation of Transport and Technological Machines and Complexes”Anton Veselov(development and training of a neural network),Artyom Timofeev(market and competitive environment analysis) andDmitry Ein(creation of a mobile application).
The system is based on a set of three elements:
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OBD scanner, connected to the car;
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mobile application providing data transmission
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A server with a Transformer-type neural network analyzing incoming telemetry.
The system in real-time mode collects vehicle parameters – onboard network voltage, coolant temperature, and other indicators, after which the neural network detects hidden anomalies and predicts possible malfunctions even before critical manifestation.
According to Anton Veselov, the key difference of the development from traditional onboard diagnostics lies precisely in the ability to forecast: “Usual diagnostics reports a malfunction only after it occurs. Our task is to predict the problem in advance and help the owner avoid serious breakdowns and repair costs.”
The pilot testing of the system was conducted on the “UAZ Hunter” vehicle. As the developers note, the technology can be adapted for virtually any transport equipped with an OBD connector: passenger cars, buses, and specialized equipment. At the same time, the neural network algorithms require additional tuning for the specific type of vehicle.
At the current stage, the system analyzes the operation of two main subsystems of the car – the cooling system and the electrical system. In the future, the team plans to scale up development and increase the number of monitored parameters.
The project has already sparked interest among festival visitors and potential users. According to the students, the attention from private car owners, who previously considered such solutions as not their target audience, has been especially noteworthy.
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