Support For Areas With Low Level Of Electromobility Through The Use Of Big Data

Abstract

Major challenges for the future transport systems include, inter alia, the reduction of emissions and reasonable energy management. To this end, one of actions popular in recent years is the development of electromobility in cities. This development is often difficult because of the social and infrastructure barriers. The article presents the method that enables to develop electromobility in cities which have a negligible number of charging station. The method is based on new technologies (in this case, multimodal trip planner developed in the framework of an international project Electric Travelling in ERA-NET CoFund Electric Mobility Europe) and acquisition of Big Data determining directly the needs of people travelling. Information gathered can provide a relevant decision-making support while determining the location of charging stations with the objective of promoting electric vehicles.