Published components
AI-based ETA service
About AI-based ETA service
From an end-user perspective, the AI-powered ETA service enables the calculation of transportation routes and prediction of estimated times of arrival or departure (ETA/ETD). Therefore, an open data approach is used, where the system only collects, preprocesses, and learns from open data sources to provide wide-ranging accessibility.
Essential Features:
- Front End for planning and overview of intermodal transports
- Service-component to save and track transports generated in the Front End
- ETA-component which enables communication between data services and performs intermodal route optimization
- Translation of addresses to geocoordinates (using OSM Nominatim Geocoder)
- Road route optimization for road transports (using Valhalla Routing Engine)
- AI-component to perform ETA-prediction on road transports using live Germany highway data
- Implementation of data services, e.g. q,V-stations of German highway network
Involved people
Alex Rotgang, alex.rotgang@iml.fraunhofer.de
Kai Hannemann, kai.hannemann@iml.fraunhofer.de
Contact
