The three-year project with nine pilot sites in Europe researched the identification of low-emission driving style that can be fostered through driver training, a driver support app, and guidelines for regular maintenance to ensure efficient, resource-saving conduct on the roads.
The project collected driving and location data via their mobile application. Looking for a solution to enrich this raw GPS data with context and gain insights into the factors influencing low-emission driving, they selected Motion-S’ mobility analytics API suite. Sending the generated raw GPS data to the platform allowed them to create their data lake. Motion-S provided the project with a set of callbacks for getting the trip-based raw (JSON) augmented and profiled data to the project team’s endpoint. During the augmentation phase, more than 100 different information elements are added to each location and road segment of the trip, e.g., road characteristics and quality, road topology and limitations, traffic signals, and weather information, to name only some.