This paper addresses the problem of predicting the energy consumption for the drivers of
Battery electric vehicles (BEVs). Several external factors (eg, weather) are shown to have …

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 …

Sažetak Electrification of city bus transport represents an important step towards sustainable
mobility. To facilitate electrification planning, a model of fully electric city bus (e-bus) is …

In urban traffic environments, driver behaviors exhibit considerable diversity in vehicle
operation, encompassing a range of acceleration and braking maneuvers as well as …

In recent years, fully electric vehicles (EVs) have accounted for a higher proportion of urban
buses. On account of their relatively short cruising range, many technologies were used to …

Electric hybridization technologies appear to be one of the most promising approaches to
improving the energy efficiency of buses; however, this improvement has not been …

To facilitate dynamic vehicle scheduling for battery electric city buses, a real-time on-line
energy consumption prediction model is proposed. The model utilizes the current vehicle …

In car-following scenarios, accurate previews of the preceding vehicle's trajectory are
essential for minimizing the energy consumption of a following automated vehicle. This work …

In recent years, the Taiwan government has been calling for the use of public transportation
and has been popularizing pollution-reducing green vehicles. Passenger transport …

The uncertainty of operating conditions such as weather and payload cause variations in the
energy demand of electric city buses. Uncertain variation in energy demand is a challenge …