Background. Improvement of quality, decrease of terms and cost of construction are inseparably linked with problems of effective use of bulldozer equipment. Purpose. The most important problem of control tractions modes of the bulldozer is the fullest use of traction opportunities of the machine at the expense of management of work tool. Automatic maintenance of the maximum traction power or resistance preset value on work tool is complicated by a large number of the random factors operating on the bulldozer. In this regard the system of automatic control has to possess possibility of self-adjustment . Method. In this paper with applying of analytical simulation method and neural network technologies, been decomposed model bulldozers workflow as mechatronic system realized [2,3]. Results & Discussion. For those sub-processes, where is possible analytical modeling based on knowledge on the links between the parameters of the bulldozer, analytical dependences are obtained. Models of these sub-processes included in the overall structure of the simulation model bulldozers workflow and are designed for both individual research bulldozers units using analytical relationships between the parameters of the workflow and simulation bulldozers workflow in general. For another thing are method of identification and modeling bulldozers base workflow based on represented (Fig. 5.).