My-TRAC
Financiado
My TRAvel Companion
My-TRAC project aims to deliver an innovative application for seamless transport and an ecosystem of models and algorithms for Public Transport – PT user choice simulation, data analytics and affective computing. My-TRAC stands ou...
My-TRAC project aims to deliver an innovative application for seamless transport and an ecosystem of models and algorithms for Public Transport – PT user choice simulation, data analytics and affective computing. My-TRAC stands out from other technologies due to three main reasons. First, My-TRAC fosters unprecedented involvement of users during, before and after a trip through a smart Human-Machine interface and numerous functionalities such as crowdsourcing, group recommendations, data exchange. Second, the application implements a vast array of technologies, such as affective computing, Artificial Intelligence and user choice simulation, that fuse expertise from multiple fields. Third, My-TRAC facilitates engagement of multiple stakeholders by seamlessly integrating services and creating connections between Rail operators, Mobility-as-a-Service and other PT providers.
My-TRAC application is a travel companion designed to operate similarly to a human companion; understanding traveller’s attributes and state-of-mind to derive conclusions from vague information as any human does. In addition, My-TRAC will be the traveller’s gateway to various services related to using PT, having Rail in the epicentre. My-TRAC application will also provide predictive information concerning disruptions and disturbances. It will not only display data but analyse them through innovative algorithms to provide improved recommendations.
My-TRAC also involves PT operators through the operators’ interface where they can retrieve and visualize aggregated data on users’ movements and state-of-mind that will assist in strategic and dynamic operations. Data that the operators retrieve are aggregated and anonymized while all models and algorithms are applied on the mobile device of the user, seamlessly integrating the privacy-by-design concept.
The consortium will test the idea in 4 pilot locations with the cooperation of local operators: NS (NL), ATTIKO Metro (GR), FGC (SP), Fertagus (PT).
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Duración del proyecto: 40 meses
Fecha Inicio: 2017-08-26
Fecha Fin: 2020-12-31
Fecha Fin: 2020-12-31
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2020-12-31
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
Presupuesto
El presupuesto total del proyecto asciende a
3M€
Líder del proyecto
Universidad Politécnica de Cataluña
No se ha especificado una descripción o un objeto social para esta compañía.
Total investigadores
9
Total investigadores
9