The paper shows the developed analysis system of urban electric transport passenger traffic based on infor-mation about of electronic fare payment and navigation data of mobile unit motion. The objective of the study is to identify the traffic flow under uncertainty based on the mapping information, electronic fare payment (transaction) and the navigation system of the mobile unit motion (the moments of passing through the checkpoints – stops). Thhe authors introduce the con-cept of transactivator as a set of transactions, which allow determining the movement of passengers paying fares by E-card. The paper shows the possibility of “bonding” the transplants transaction set in a single itinerary for a passenger. It solves the problem of “last mile”: it means that unknown place and time of arrival of the passenger is defined. The authors received sample distributions of urban electric transport passenger traffic containing basic information about the movement of passen-ger: time and place of the start and end points of the trip. Estimate of the urban electric transport passenger traffic distribution is carried out between the city administrative regions with reference to the routing scheme of tram movement. The number of stops in each administrative district is different; however this allowed us to determine the direction of passenger traffic movement by districts and crowding of routes that pass through several parts of the city. The analysis is performed for the re-al passenger traffic flow in weekdays and days off. The system works with incomplete input data (only one type of public transport is considered). Based on the grouping of stops by administrative districts, OLAP-cube with information about the route of the passenger is built. Statistical analysis of this cube allows defining the extremes of passenger traffic and the city administration can mitigate these extremes through modernization of urban transport network.