A multivariate nonlinear regression model for the resistance power of a light rail vehicle

In Turkey, 20% of energy use caused by transportation. Light rail transportation has developing nowadays. However, it is very important to issue having information about the consumption light vehicle according different both and railway situations. 
 approximately expended spent on technology still in an evolving process. this development process, crucial have situations railway.
 It necessary predict power losses that will occur under driving conditions sensitively ensure efficiency systems. The most these resistance loss contact with route. Resistance dependent multiple environmental conditions. can be listed as weight vehicle, instantaneous speed curve route, ramp slope route friction force arising from proportional linearly some variables while others show reverse or nonlinear dependence. Due types dependencies, seen a single multivariate model needed explain all study, new accurate for been developed fitting numerical values obtained scenarios regression model.