In this article interest is concentrated on the heating, ventilation and air conditioning system control optimization in passengers’ interior of railway electric transport vehicle. Idea is to use neuro-fuzzy controller to create an algorithm and coordination mechanism for heating system parameters control to save electrical energy, and to increase the level of comfort for passengers. This paper provides the mathematical model and algorithm for optimal control of the climate control system.