The present work proposed in the thesis aims at developing a new methodology for generating artificial distance-based drive cycles and their validation for the sales tool. The sales tool is called Calculation and visualization applications (CAVA) which is used for the energy and fuel consumption calculation of heavy-duty vehicles (HDV’s) based on the inputs from the customers. CAVA needs a new tool for the energy consumption calculation. Therefore, the idea is to generate artificial drive cycles based on three coefficients: Average driving velocity, stop frequency (stops per 100Km), average absolute value road gradient. These three coefficients are the ones which will be input from the customers for CAVA.