DATA DRIVEN ENERGY ECONOMY PREDICTION FOR ELECTRIC CITY BUSES USING MACHINE LEARNING

Abstract

Electrification of transportation systems is increasing, in particular city buses raise enormous
potential. Deep understanding of real-world driving data is essential for vehicle design and
fleet operation. Various technological aspects must be considered to run alternative powertrains
efficiently