LEARNING FROM HISTORICAL DATA TO PREDICT ELECTRIC VEHICLE TAXI CONSUMPTION AND CHARGING TIME

Electric taxi fleet simulation calls for a lot of uneasily accessible data. We learned from historical data in order to predict electric vehicle consumption and charging time. Although simulation was the main goal, the developed models will be used by the dispatching team of the company. Moreover, the data analysis process allowed us to discover flaws in the infrastructure (e.g., defective stations and defective batteries).