Model based cyclist energy prediction

Traditional and electric bicycles are becoming a growing mean of transportation in urban areas. In this study we present an algorithm which predicts the amount of energy a cyclist will deliver for a given route. The main idea of the algorithm is to predict the speed profile the cyclist is going to follow thanks to a bicycle model and a cyclist model combined with infrastructure constraints (e.g. traffic lights). The proposed algorithm is validated on different experimental trips.