This project deals with development and demonstration of a method for performing road-condition surveys based on car sensor data. Specifically, the electric car fleet operated by GreenMobility in Copenhagen will be utilized for this purpose. Ultimately, a hybrid model will be developed to express the interrelations between road-conditions and car-sensor data. This model will be based on a combination of machine learning and physical modeling.
|Effective start/end date||01/02/2019 → 01/08/2022|