Opendata, web and dolomites
  1. home
  2. trasparenza
  3. open h2020
  4. trainsfare

TRAINSFARE SIGNED

SMART TOOL TO PROTECT PUBLIC TRANSPORT REVENUES, ASSETS, PASSENGERS AND MOBILITY

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0
 Outcomes and results

 TRAINSFARE project word cloud

Explore the words cloud of the TRAINSFARE project. It provides you a very rough idea of what is the project "TRAINSFARE" about.

market    fraud    mto    excess    request    installed    fgc    effectiveness    immediately    shadows    app    precise    stations    losses    tackle    unattended    too    ticket    reflections    commuter    inspections    feasibility    nominated    inspectors    alerts    act    disrupts    gates    occlusions    analytics    plan    global    recognised    geometry    flow    tested    video    international    natural    evasion    tool    fare    reduce    malfunction    7    mobile    enabled    paying    resolve    barcelona    double    seeking    2015    patent    time    exit    causes    dodgers    harnessing    streams    milan    operators    baggage    alone    sunlight    elude    replicate    points    vandalism    uitp    trainsfare    spot    detects    grant    rollout    digits    train    award    limited    metro    association    agreed    transport    uses    finalist    successfully    ways    checks    tests    9bn    approved    barriers    pending    passengers    revenue    rates    inconveniently    mtos    behavioural    exposure    previously    prevention    innovative    excellence    detect    detector    networks    public    passenger    smeinst    trajectories    random    rising   

Project "TRAINSFARE" data sheet

The following table provides information about the project.

Coordinator		 AWAAIT ARTIFICIAL INTELLIGENCE SL 

Organization address
address: AVENIDA DIAGONAL NUM 601, PISO 8A
city: BARCELONA
postcode: 8028
website: n.a.

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]
 Project website http://www.trainsfare.eu
 Total cost 1˙585˙883 €
 EC max contribution 1˙110˙118 € (70%)
 Programme 1. H2020-EU.3.4. (SOCIETAL CHALLENGES - Smart, Green And Integrated Transport)
2. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
3. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-2-2016-2017
 Funding Scheme SME-2
 Starting year 2017
 Duration (year-month-day) from 2017-05-01   to  2020-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    AWAAIT ARTIFICIAL INTELLIGENCE SL ES (BARCELONA) coordinator 1˙110˙118.00

Map

 Project objective

TRAINSFARE’s main objective is to help reduce fare evasion on public transport, which causes revenue losses in excess of €2.9bn/year in Europe alone.

To tackle fare evasion public transport operators use random ticket inspections with variable success. This method inconveniently disrupts the natural flow of paying passengers, while fare dodgers all too often find ways to elude spot checks. Therefore, harnessing the geometry of their networks, many metro and commuter train operators (MTOs) have installed fare gates (or ticket barriers) at access/exit points. However, even with fare gates, fraud rates are typically 2-7% of passengers, rising to double digits on some networks.

At the request of FGC (an innovative MTO in Barcelona that could not find an adequate system on the market to step up fraud prevention), we developed DETECTOR, a highly precise and effective support tool that detects fraud at barriers and alerts ticket inspectors in real time via a mobile app so that they can act immediately.

Because the DETECTOR system uses video streams, it can also be used to detect vandalism, unattended baggage, equipment malfunction and behavioural analysis based on passenger trajectories. Our patent pending methodologies have enabled DETECTOR to resolve issues that previously limited the effectiveness of video analytics such as shadows, reflections, occlusions and variable sunlight exposure.

DETECTOR 1.0 has been tested and approved by FGC, is successfully operating in four of FGC’s main stations and further rollout is planned. Tests have also been agreed with other European MTOs.

The UITP (International Association for Public Transport) also recognised DETECTOR’s innovative approach when it was nominated as a global finalist for the Operational and Technical Excellence Award (Milan 2015).

With a feasibility plan developed under a SMEInst Phase 1 grant, TRAINSFARE is now seeking Phase 2 support to scale up and market replicate the system.

 Deliverables

List of deliverables.
Updated Dissemination Plan Documents, reports 2020-04-24 03:16:37
Dissemination Package Websites, patent fillings, videos etc. 2020-04-24 03:16:37
Publishable report on project’s progress Documents, reports 2020-04-24 03:16:37

Take a look to the deliverables list in detail:  detailed list of TRAINSFARE deliverables.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "TRAINSFARE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "TRAINSFARE" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.4.;H2020-EU.2.1.1.;H2020-EU.2.3.1.)

ESCaPE (2016)

A game-changing light aircraft enabled by advanced materials and novel production menthods

Read More  

Ellum AC System (2018)

An advanced air conditioning system for Electric Vehicles

Read More  

GMP (2017)

Green Marine Propulsion

Read More