Assessment of the State of Highways in Russia Using Machine Learning Methods

Student: Danilko Aleksandra

Faculty: St. Petersburg School of Physics, Mathematics, and Computer Science

Educational Programme: Big Data Analysis for Business, Economy, and Society (Master)

Year of Graduation: 2021

Modern methods of tracking traffic events are very expensive, so they are most often deployed in large cities. Information about the roads near the villages and towns remains unknown. In this regard, it is proposed to assess the state of transport routes based on the comments of users left on specialized sites.

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