Fostering the adoption of GALILEO for Mobility as a Service
GALILEO FOR MOBILITY project aims to support the introduction of GALILEO technology within the Mobility as a Service (MaaS) context. It analyses the needs in terms of geolocation and demonstrate the benefits of GALILEO through pilot demonstrators of shared mobility services.
The first objective is to understand, define and validate which are the requirements for GNSS in the MaaS sector, identifying the benefits that GALILEO might bring compared to existing solutions. This means to describe the different operational models and use cases involved and study how location is used across each of them. The definition of requirements needed for GNSS devices will be validated in the 5 operational pilots with real users and covering different use cases. As second objective, GALILEO FOR MOBILITY develops key elements to exploit GALILEO benefits within the MaaS sector, developing a GALILEO-based on board unit (OBU) and big data analytic methods to exploit geolocation data in order to improve service operations and urban mobility planning. Exploitation and transferability of the results plays also an important role in the project, done among others through an Open Call for additional small-scale pilots.
UITP, one of the 11 partners, is responsible for outreach and dissemination and for providing input on transversal issues such as Market Analysis or Big Data exploitation.
- Duration: November 2017 – April 2020
- Budget: € 2.73m (€ 2.23m EU funded)
- Coordinator: PILDO LABS WESSEX LTD (PLD WSX)
- Partners: PILDO CONSULTING SL (Pildo Labs), SENSEFIELDS, S.L. (Sensefields), TRANSPORT SYSTEMS CATAPULT LIMITED (TSC), ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS (CERTH), UNION INTERNATIONALE DES TRANSPORTS PUBLICS (UITP), AUTOMOBIL CLUB ASSISTENCIA SA (ACASA), AREA METROPOLITANA DE BARCELONA (AMB), MOPEASY SAS (MOPEASY), SYNETAIRISMOS RADIOTAXI THESSALONIKIS TAXIWAY SYN PE (TAXIWAY), FUNDACION CREAFUTUR (CREAFUTUR).
Contact: Guido Di Pasquale
GALILEO FOR MOBILITY is co-funded by the European Union under Horizon 2020, Research and Innovation Directorate General under Grant Agreement n° 776381.