Public transport in Eurasia and Russia has used the heritage of Soviet transport systems for almost 20 years. The absence of modern large-scale projects and investments in public transport infrastructure renewal, along with the explosion of the private car market, brought cities to standstill traffic and in desperate need of transport system.
Intelligent Transport System (ITS), similar to that implemented in Moscow, is being created in Russian cities with a population of 300,000 or more.
Tula became the first agglomeration of 22 pilot regions in 2020 with a road traffic automation project. Various subsystems are connected to a single digital platform developed by the Research and Development Institute for Urban Transportation MosTransProekt, transmitting information from detectors, sensors, video cameras and public transport equipped with the GLONASS system.
ITS analyzes the general traffic situation and, based on mathematical algorithms, selects the optimal traffic light mode. ITS also coordinates traffic flows in case of congestion. In the event of an accident, the operator on duty can warn motorists about difficulties on the road.
“Unlike other regions, Tula has chosen a systematic approach. Modern digital technologies, in many ways, help to improve road safety, but their single local application does not lead to significant results. The real complexity of traffic appears only when all the subsystems are combined on one platform, and that makes analysis management in real time possible”, said, Alexander Polyakov, Director of Research and Development Institute for Urban Transportation “MosTransProekt”.
The Unified Transport System Management Platform developed by MosTransProekt coordinates data from all connected devices used to monitor traffic, record violations, etc. Today more than 250 technical means record about 15 different motion parameters.
The project aims to ensure road safety for both pedestrians and motorists and improve the quality of life in the region.
MosTransProekt also creates a digital model of the road in the Tula agglomeration, which is a source of relevant information for constructing a graph in a mathematical transport model. Modeling allows you to evaluate changes, for example, in the connectivity of the area, if you make one street one-way, or what happens if a skyscraper is built, or traffic lights are reconfigured.
The digital model of the road also serves as a basis for drones on the streets of the city, and also opens up opportunities for the integration of the Tula agglomeration into the global transport system.
