Dynamic traffic information for electric vehicles as a basis for energy-efficient routing

Dynamic traffic information for conventional vehicles has been widely studied in literature. A common approach is to broadcast an average speed value per road segment. Usually, this is sufficient to calculate an approximate travel time on a given route. For electric vehicles, where the overall range is limited, it is crucial to know the ongoing traffic situation best in order not to drain the battery. To this end, knowledge on the estimated energy consumption is significantly more relevant than knowledge on the average travel time. This paper aims to provide a literature survey of current energy consumption models and energy-efficient routing algorithms, and adapts current dynamic traffic information towards electric driving. A real-world field study from Germany has been evaluated and serves as a basis for energy consumption analyses.