IRNTU has developed a program that evaluates the quality of roads, predicts changes for four years ahead, and makes recommendations on repairing and replacing the roadway. The information system created within the framework of the Priority 2030 Program will be in demand by industry departments and road construction companies.
The author of a mathematical model predicting changes in the roadway over time is Associate Professor of the Department of Highways Nadezhda Slobodchikova. The condition of the site is estimated as a combination of three parameters – evenness, coefficient of adhesion and the average value of the quality of the web (according to the totality of defects). Deviations from the norms indicate the need for repair work.
The methodology takes into account the speed of traffic, the number of lanes, the width of the roadway and the roadbed, and the year of commissioning. The program forms an optimal action plan for the long-term operation of highways in conditions of a limited budget. To find such measures, a "decision tree" is being built, which represents a set of conditions and consequences.
The software for testing the methodology was created by Mikhail Katashevtsev, head of the Information Systems Department, and Vladislav Kutenkov, a graduate student. Using a file with initial data, the Polytechnic system evaluates the condition of road sections and builds a color map. The assessment of the residual resource contributes to the development of recommendations for public and commercial road services.
"In green, the program highlights areas that are excellent in condition, in red – places that require major repairs. The stripes on which scheduled work is organized turn yellow. Visualization of information simplifies the selection of sites for priority repair and restoration. Users can predict changes, including if road maintenance and maintenance activities are carried out.
We received a positive feedback on the development from Igor Alexandrovich Rymorenko, Minister of Digital Development and Communications of the Irkutsk Region," Mikhail Katashevtsev stressed.
In the journal "Travel Navigator", the Polytechnic students published the results of a study of the section of the highway R-255 "Siberia". The experiment is based on data on the condition of the roadway in 2018-2022. By modeling regression, the scientists determined that cracks should be shed on the object, individual potholes should be eliminated, wear layers and protective layers should be arranged. The road surface needs surface treatment, and it is also necessary to eliminate ruts up to 50 mm deep. The experiment showed that the calculation module can be improved to enter the industry market.
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