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Increasing greenhouse gas (GHG) emission is one of the most importantconcerns of world decision-makers. The considerable part of it belongs to thetransportation systems. As a solution, the world is going to use urbanelectrical transportation systems, and thus designing optimal methods and novelstrategies is essential nowadays. Indeed, reducing the amount of consumedelectrical energy and having optimum and efficient energy management forelectrical means of transport requires several vital elements. Designing atravel profile is one of the most crucial parts of these methods. A travelprofile for the fully electric train ET245 with three stations is designed andanalyzed in Milan, Italy, as a case study in this paper. As the first step,route data are acquired by the Google Maps tool. Then, the train data iscollected from the manufacturer's catalogues and datasheets. Finally,computations were performed by Excel spreadsheets. The results indicate thatthe designed path in the proposed travel profile is covered by a commercialspeed and requires reasonable electrical energy, which is considered economicaland advantageous.

Optimal Application of Trajectory Optimization by Travel Profile for Electric Train in an Electrical Transportation System