Playful Crowdsourcing for Energy-Efficient Automotive Navigation
In this paper, we describe the work-in-progress state of a playful simulation using crowdsourcing to gather data of efficient routes for automotive navigation in the context of electro mobility. Users will contribute well-known routes of their local area by playing the simulation. The routes will be evaluated with regard to height structure, traffic volume, and traffic signal frequency in the context of the daytime, season, and further time-dependent events. Based on this data, the simulation will be able to calculate the most energy-efficient route.