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Safety of Transport Infrastructure on the TEN-T Network

Objetivo

The SAFE-10-T project will develop a Safety Framework to ensure high safety performance while allowing longer life-cycles for critical infrastructure across the road, rail and inland waterway modes. Moving from considering critical infrastructure such as bridges, tunnels and earthworks as inert objects to being intelligent (self-learning objects) the SAFE-10-T project will provide a means of virtually eradicating sudden failures. This will be achieved by:

• The Safety framework will incorporate remote monitoring data stored in a BIM model that feeds into a decision support framework (DST) that enables decisions to be made automatically with maintenance prioritised for elements exhibiting stress.
• A major advance that will be achieved in the project is that the algorithms at an object level and at a network level will incorporate machine learning to train the system to evolve with time using available monitoring data.
• A trans-disciplinary approach with experts in Artificial Intelligence and big data management working with owners, engineers with expertise in risk and modelling and sociologists to make decisions.
• Our major European infrastructure managers (Rijkswaterstaat for roads and inland waterways and Network Rail) will undertake demonstration projects at critical interchanges and nodes of the TEN-T transport network.

The project will achieve significant impact in asset management by:

(i) By moving to intelligent objects that communicate their safety condition during extreme events we will provide a means of virtually eradicating sudden catastrophic failure of infrastructure objects.
(ii) The project will use Open Linked Data formats to manage all data and inputs from other sources. Mitigation actions can be taken and warnings of the increased risk level can be transmitted to other agencies and the public.
(iii) Demonstrate the concept of fully interconnected transport networks on the TEN-T

Convocatoria de propuestas

H2020-MG-2016-2017

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Convocatoria de subcontratación

H2020-MG-2016-Two-Stages

Régimen de financiación

RIA - Research and Innovation action

Coordinador

GAVIN AND DOHERTY GEOSOLUTIONS LTD
Aportación neta de la UEn
€ 302 500,00
Dirección
KILLACLORAN UPPER
- Aughrim Wicklow
Irlanda

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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
Ireland Northern and Western Border
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Enlaces
Coste total
€ 302 500,00

Participantes (13)