Calculating estimated times of arrival (ETA) with Artificial Intelligence

The declared goal of every logistics service provider is to provide its customers with reliable arrival times. In the development project “Building an AI-based ETA service”, the scientists are now setting up a learning system in the form of an open framework. From an end-user perspective, the AI-powered ETA service improves the accessibility of intermodal transport and the calculation of intermodal routes and transport durations. Therefore, an open data approach is used, where the system only collects, pre-processes and learns from open data sources to provide wide-ranging accessibility.

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