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Safety of Transport Infrastructure on the TEN-T Network

Safety of Transport Infrastructure on the TEN-T Network

Objective

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

Coordinator

GAVIN AND DOHERTY GEOSOLUTIONS LTD

Address

Killacloran Upper
- Aughrim Wicklow

Ireland

Activity type

Other

EU Contribution

€ 302 500

Participants (13)

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ROUGHAN & O'DONOVAN LIMITED

Ireland

EU Contribution

€ 290 878,75

TECHNISCHE UNIVERSITEIT DELFT

Netherlands

EU Contribution

€ 755 007,50

Rijkswaterstaat (Ministry of Environment and Infrastructure)

Netherlands

EU Contribution

€ 50 000

NETWORK RAIL INFRASTRUCTURE LIMITED

United Kingdom

EU Contribution

€ 47 500

VIRTUS IT LIMITED

United Kingdom

EU Contribution

€ 250 000

INFRASTRUCTURE MANAGEMENT CONSULTANTS GMBH

Switzerland

EU Contribution

€ 168 750

SVEUCILISTE U ZAGREBU GRADEVINSKI FAKULTET

Croatia

EU Contribution

€ 255 000

HZ INFRASTRUKTURA D.O.O.

Croatia

EU Contribution

€ 26 250

INFRA PLAN KONZALTNIG JDOO ZA USLUGE

Croatia

EU Contribution

€ 197 500

TECHNISCHE UNIVERSITAT BERLIN

Germany

EU Contribution

€ 253 750

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH

Germany

EU Contribution

€ 182 500

ISTITUTO DI SOCIOLOGIA INTERNAZIONALE DI GORIZIA ISIG

Italy

EU Contribution

€ 141 875

FORUM DES LABORATOIRES NATIONAUX EUROPEENS DE RECHERCHE ROUTIERE

Belgium

EU Contribution

€ 75 488,75

Project information

Grant agreement ID: 723254

Status

Ongoing project

  • Start date

    1 May 2017

  • End date

    30 April 2020

Funded under:

H2020-EU.3.4.

  • Overall budget:

    € 2 997 000

  • EU contribution

    € 2 997 000

Coordinated by:

GAVIN AND DOHERTY GEOSOLUTIONS LTD

Ireland