Objective
Transportation systemic risks are not well understood across modes, regions, and critical interdependent sectors, creating uncertainty about risks resulting from a major system disruption. There is a lack of resilience schemes, especially for the long term, integrated into transport infrastructure due to the inability to monetize resilience for investment decisions, and there are also strong barriers to its implementation to operating practice. The overall objective of FORESEE is to develop and demonstrate a reliable and easily implementable toolkit for providing short and long term resilience schemes against traffic disruption due to flooding, landslide and structural damage for rail and road corridors and multimodal terminals. It will help move towards a performance based risk assessment framework, relying on: a) an update on best available methodologies, practices and solutions with data-enhanced: models, solutions and cost benefit assessments, b) the development of new solutions regarding drainages, pavements and landslides, and c) a detailed strategy for its successful implementation, integrated into the infrastructure life-cycle usual procedures. Prestandardization activities will be carried out throughout the life of the project.
The FORESEE toolkit will include: a) A reliable Data Acquisition System, satellite and terrestrial, b) A Situation Awareness System for the prediction and alert of extreme events c) New materials and systems regarding permeable pavements; drainage and culvert systems, and slope stabilization systems d) A Decision Support System to provide better informed resilience schemes e) Guidelines on Standards, Design and Technological recommendations. The setting up of a Stakeholders Reference Group at early stages of the project, will guarantee the accounting for the demands and the acceptance of all endusers. FORESEE will enhance international Cooperation by twinning with world leading institutes.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Keywords
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
20009 DONOSTIA-SAN SEBASTIAN (GIPUZKOA)
Spain
See on map
Participants (21)
16129 Genova
See on map
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
KT22 75A Leatherhead
See on map
80686 Munchen
See on map
39005 Santander
See on map
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
39011 Santander
See on map
Participation ended
D02 RV08 Dublin
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28042 Madrid
See on map
BA2 7AY Bath
See on map
29004 Malaga
See on map
39011 Santander
See on map
28521 Rivas Vaciamadrid
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2809 013 Lisboa
See on map
00161 Roma
See on map
00159 Roma
See on map
1040 Bruxelles / Brussel
See on map
8092 Zuerich
See on map
LU1 3LU Luton Bedfordshire
See on map
EH8 9YL Edinburgh
See on map
30161 Hannover
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
D02DE03 Dublin
See on map
GU2 7XH Guildford
See on map