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An Intelligent Arrival Time Prediction Service in a Federated Data Ecosystem: The Minimum Viable Demonstrator of the GAIA-X 4 ROMS Research Project

Marco Kremer; Lucas Pohling; Henning Gösling; Christoph Heinbach; Timon Sachweh; Sonika Goginen; Kolja Berger
In: SSRN Electronic Journal, Vol. ID 4331859, Pages 1-11, Online, 1/2023.


Reliable arrival and departure forecasts from transport service providers are now an important basis for the successful planning of operational work processes for many commercial enterprises. A lack of interoperability, data standards and interfaces for exchange on the one hand, and a lack of a basis for cooperation on the other, hinder the flow of data along the supply chain and thus the fulfillment of the customer's demand on transport service providers for reliable forecasts. The consortium research project "GAIA-X 4 ROMS" (Remote Operation for Automated and Connected Mobility Services), funded by the German Federal Ministry of Economics and Climate Protection, is developing the prototype of a novel value network for the intelligent fleet management of automated and connected vehicles in intermodal transport chains. Data and services, such as remote operation and planning services, are exchanged securely and sovereignly on the basis of a federated, decentrally organized data space. The innovative concept of Gaia-X for the design of federated data spaces will be used, which promises data sovereignty and standardized data exchange for all network participants. This paper presents the concept of the first Minimum Viable Demonstrator (MVD) of the research project. In the MVD, the principle functionality of the data space and the data exchange between participating network nodes via data connectors is to be demonstrated using the use case of arrival time forecasting for vehicle fleet operators. In the further course of the project, the forecast service developed for this purpose will form an elementary functional module for an AI-based planning tool for the dynamic real-time planning of road-based mobility services in public passenger transport as well as in commercial road freight transport. The paper concludes with the current challenges in implementing the innovative data space technologies in the MVD and the related outlook for the further course of the project.


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