Tele2 Algorithm for analyzing passenger traffic on roads

Main article: Big Data

2023: Developing an algorithm to analyze passenger traffic on roads

On July 14, 2023, the Tele2 operator announced that it had developed an algorithm for analyzing passenger traffic on roads. This technological solution based on artificial intelligence allows us to conduct research at a qualitatively different level: not only to determine sections of roads with maximum load, but also to draw conclusions about the socio-demographic characteristics of the transport flow. The development will be useful for planning the construction of transport interchanges, advertising business for finding the right audience, retailers when opening new outlets.

The developed algorithm is superior to traditional methods of conducting such studies: surveys and observation. Unlike field studies, when using big data , errors related to the human factor are excluded, the analysis takes less time, data the operator is allowed to highlight and specify information about the target audiences in specific locations.

The difficulty of developing such a solution on the side of the telecom operator lies in determining exactly the movements of motorists in the entire data array and correlating the data on their movement with the road map. In addition, in order to use the solution productively, it was necessary to obtain the most accurate forecasts while simultaneously obtaining data in real time.

Big data Tele2 technology solution improves measurement accuracy thanks to:

• Obtaining azimuth and distance from the mobile device to the base station due to equipment settings.
• An algorithmic component that allows obtaining more accurate geocoordinates by a model method using GPS coordinates as a standard.
• Calculation of the most probable route of movement along the highway graph using algorithms for finding the shortest paths on the graph. At the same time, the algorithm is optimized taking into account the large amount of data entering and the need to work in real time.

As a result, Tele2 received calculation and visualization of traffic routes throughout Russia. The algorithm developed by the company allows you to find sections of roads and understand how many people drive along them, as well as understand the socio-demographic characteristics of this audience.

The developed solution is relevant for the advertising business, as it allows you to determine where the highest concentration of the target audience of advertising messages is located. In addition, the algorithm solves the problems of state the authorities: for example, to plan the construction of transport interchanges taking into account traffic congestion. Tele2's solution is useful in planning the development of retail chains. retail It is useful for companies in the field to understand what characteristics the passenger traffic corresponds to next to the retail space, how many people are potentially interested in the offer.