Intelligence decision support system for managing public transport

The intelligence decision support system for managing the movement of public transport, built on the basis of fuzzy situational control, is offered. The described approach allows us to formalize the typical traffic situations that arise during the motion of urban passenger electric transport using the theory of fuzzy sets and to choose the required control action based on the inclusion of fuzzy situations using the ranking of possible management decisions.