TRAINSFARE
Financiado
Transport System with Artificial Intelligence for Safety and Fare Evasion
Our project’s main objective is to develop a decentralized, interoperable and flexible system to reduce some operational problems at mass transport systems and to increase their safety.
One of the concerns of Mass Transportation...
Our project’s main objective is to develop a decentralized, interoperable and flexible system to reduce some operational problems at mass transport systems and to increase their safety.
One of the concerns of Mass Transportation Operators (MTO) worldwide is the significant amount of users that avoid paying (fare dodging), amount that is increasing nowadays (estimated value of €600 million/year).
In the case of rail and metro, the installation of mechanical fare gates activated with magnetic cards helps reducing fare dodging but some users take advantage of the gate closing delay (necessary for safety reasons) and pass right behind the previous user, without validating any ticket whatsoever (tailgating). There is currently no effective solution for this problem except permanent human surveillance at the gates or the frequent deployment of mass controls: a group of inspectors checks every passing user. These mass controls are cumbersome, inconvenient for the paying user and easily avoidable by the fare dodger.
HAL has developed an artificial vision system that automatically detects tailgating and allows the selective interception of the suspected wrong-doer even before they reach the platform.
The system is being developed in collaboration with a globally respected MTO active in Barcelona, FGC (Ferrocarrils de la Generalitat de Catalunya), within their Smart Train program. A pilot under regular operating environment has proven the effectiveness of the system.
With this proposal, we plan to elaborate a detailed feasibility study (Phase 1) that will possibly recommend to opt for Phase 2 funding later on, necessary for extended R&D and for a rapid worldwide dissemination of our solution.
We expect to further expand our artificial vision technology (combined with mobile technology, when convenient) to solve other safety and maintenance challenges in nowadays mass transport operations. A second natural step could well be railway signal detection and monitoring.
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Duración del proyecto: 5 meses
Fecha Inicio: 2014-12-19
Fecha Fin: 2015-05-31
Fecha Fin: 2015-05-31
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2015-05-31
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
IT-1-2014-1:
Small business innovation research for Transport
Cerrada
hace 10 años
Presupuesto
El presupuesto total del proyecto asciende a
71K€
Líder del proyecto
HOLDING ASSESSORIA I LIDERATGE
Adquisicion, tenencia, disfrute, administracion, cesión, enajenacion, por cualquier titulo de valores mobiliarios y de cualquier tipo de tit...
Perfil tecnológico
TRL
6-7
50K
Perfil tecnológico
TRL
6-7
50K