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

Objetivo

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.

Convocatoria de propuestas

H2020-SMEInst-2016-2017

Consulte otros proyectos de esta convocatoria

Convocatoria de subcontratación

H2020-SMEINST-2-2016-2017

Régimen de financiación

SME-2 - SME instrument phase 2

Coordinador

AWAAIT ARTIFICIAL INTELLIGENCE SL
Aportación neta de la UEn
€ 728 703,50
Dirección
Avenida Diagonal Num 601, Piso 8a
08028 Barcelona
España

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Región
Este Cataluña Barcelona
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Aportación de fuera de la UE
€ 312 301,50

Participantes (1)

Tercero

Entidad jurídica distinta de un subcontratista que está afiliada o vinculada jurídicamente con un participante. Dicha entidad lleva a cabo su trabajo en las condiciones establecidas en el acuerdo de subvención, proporciona bienes o presta servicios para la acción, pero no firma dicho acuerdo. El tercero acata las normas aplicables a su participante en virtud del acuerdo de subvención en lo que respecta a la subvencionalidad de los costes y el control de los gastos.

HOLDING ASSESSORIA I LIDERATGE SL
España
Aportación neta de la UEn
€ 381 415,13
Dirección
Carrer Rossello 72 P 2 Pta 1
08029 Barcelona

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Pyme

Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.

Región
Este Cataluña Barcelona
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Aportación de fuera de la UE
€ 163 463,62