Smart city mapping for safer and eco driver behaviour through smartphone sensor big data
This project will exploit large-scale spatio-temporal data from smartphone sensors to develop dynamic maps with readily accessible online information on road safety and eco-driving (routes with reduced fuel consumption).
The objectives of the project encompass the exploitation of large-scale spatio-temporal data from smartphone sensors, the development of intelligent driver behavior maps providing information on safety conditions and eco-driving, and the creation of an extensive tool designed to foster safe driving behavior, with a specific application in Greece.
The project’s main findings include the combination of road geometry characteristics, naturalistic driving data, observed driving behavior, and historical road crash records for road safety modeling; the determination that spatial models offer a superior fit to the data compared to non-spatial models; and the development of a transferable methodology that enables predictions in areas lacking data.
The SmartMaps platform, which was developed as part of the project, is now live and accessible at https://www.saferoadsmap.com/.
OSeven (Coordinator), Global Link, Department of Transportation Planning and Engineering of the National Technical University of Athens
Greek Research Committee, supported by EU funds