GOF4R - Governance of the Interoperability Framework for Rail and Intermodal Mobility
A European research project within the Shift2Rail initiative – IP4: IT Solutions for Attractive Railway Services
The project will complement results from the IT2Rail project and contribute to the IP4 objectives


The establishment of good governance will effectively secure the confidence of the industry to use the Interoperability Framework (IF) semantic technologies that will be established under the IP4 Shift2Rail program. The objective of the Governance of the IF for Rail and Intermodal Mobility (GoF4R) project is to define sustainable governance for the IF that will create the right conditions to introduce seamless mobility services and foster the development of multimodal travel services. GoF4R will help to overcome obstacles currently impeding development of market innovation by fostering a large acceptance of the “semantic Web for transportation.”

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Latest News and Events

White Paper on transportation and sustainability GoF4R presents a White Paper written by the project academic partners Siemers and colleagues from the University of Sheffield. This paper outlines how the GoF4R project will make a considerable contribution towards improved transportation system in Europe to make it more sustainable, ...

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GoF4R Presented at the UITP Global Public Transport Summit in Montreal

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The Global Public Transport Summit (GPTS), held on 15-17 May 2017, was a unique event covering all urban and regional transport modes. It combined a full programme of congress sessions with an exhibition of the latest solutions, innovations and products in public transport and urban mobility. GoF4R ...

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GoF4R represented in 12th ITS European Congress

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During the 12th ITS European Congress that took place in Strasbourg between 19-22 June 2017, GoF4R was represented through a paper called "Interoperability Framework and Governance enabling Mobility as a Service", which can be found on the publication section of the GoF4R website.

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No: 730844

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