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My-TRAC SIGNED

My TRAvel Companion

Total Cost €

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EC-Contrib. €

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Partnership

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Project "My-TRAC" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAT POLITECNICA DE CATALUNYA 

Organization address
address: CALLE JORDI GIRONA 31
city: BARCELONA
postcode: 08034
website: www.upc.edu

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Total cost 3˙494˙476 €
 EC max contribution 3˙494˙476 € (100%)
 Programme 1. H2020-EU.3.4.8.4. (Innovation Programme 4: IT Solutions for attractive railway services)
 Code Call H2020-S2RJU-OC-2017
 Funding Scheme /Shift2Rail-RIA
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2020-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAT POLITECNICA DE CATALUNYA ES (BARCELONA) coordinator 672˙625.00
2    TECHNISCHE UNIVERSITEIT DELFT NL (DELFT) participant 676˙837.00
3    ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS EL (THERMI THESSALONIKI) participant 496˙883.00
4    EXPERIS MANPOWERGROUP SL ES (MADRID) participant 337˙500.00
5    ATTIKO METRO AE EL (ATHINA) participant 309˙375.00
6    AETHON SYMVOULI MICHANIKI MONOPROSOPI IKE EL (ATHENS) participant 306˙850.00
7    UNION INTERNATIONALE DES TRANSPORTS PUBLICS BE (BRUXELLES) participant 241˙250.00
8    UNIVERSIDAD DE SALAMANCA ES (SALAMANCA) participant 230˙405.00
9    STRA LDA PT (COIMBRA) participant 222˙750.00

Mappa

 Project objective

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).

 Work performed, outcomes and results:  advancements report(s) 

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The information about "MY-TRAC" are provided by the European Opendata Portal: CORDIS opendata.

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My-TRAC (2017)

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