Periodic Reporting for period 3 - FORESEE (Future proofing strategies FOr RESilient transport networks against Extreme Events) Reporting period: 2021-03-01 to 2022-02-28 Summary of the context and overall objectives of the project Transportation systemic risks are not well understood across modes, regions and critical interdependent sectors, creating uncertaintyInformation overload and uncertainties in decision making when traffic disruptions occurGeneral lack of built-in resilience capability, integrated into transport infrastructure due to the inability to monetize resilience for investment decisionsstrong barriers to the implementation of resilience into operating practiceInvestments in emerging issues are difficult to justify when benefits are not clearTo increase the understanding of the risk and costs associated with extreme events in order to reduce the uncertainty allowing more reliable and accuracy resilience decisions The operationalization of resilience policies into operational practiceCost-performance risk assessment approaches and criticality concepts to support wise investments Infrastructure managers and operators must ensure that transport assets function continually and safely against extreme events which will require important investments to upgrade them in order to improve their resiliencePrioritization of the most disruptive hazards impacting on the transportation network, Extreme Weather Events, landslides, earthquakes and Man-made hazards, addressing their impact and cascade effects.The project has stablished a common framework to integrate resilience related concepts, tools, methodologies and other solutions into the day-to-day management of transport infrastructure networks by owners, operators and other stakeholders involved. FORESEE has also been able to facilitate procedures to propose and compare different solutions aimed to improve network’s LoS and LoR, enabling the short, medium, long term planning of different design, operation and maintenance action based on objective and CBA proceduresFORESEE has developed, demonstrated, and validated an innovative management approach and has laid out a whole system planning software platform, , able to facilitate a holistic management throughout the entire lifecycle of the infrastructure, providing an integrated view of transport networks’ service and resilience. The FORESEE platform is able of detecting hot spot areas, predicting and alerting of extreme events, reducing the uncertainty of impacts, integrating innovative adaptation technologies and resilience guidelines. It can predict and issue alerts of extreme event on vulnerable areas, but it is also capable of integrating drainage and culvert design solutions, permeable pavements and slope systems, structural health monitoring, new engineering links as well as more general validated best practices and recommendation. Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far WP1: Processes and methods to define metrics and targets of Level of Service, risk and resilience. The D1.1 “Measuring the Level of Service and resilience in infrastructure” and D1.2 “Setting the target Level of Service and resilience for infrastructures”. D1.3 describes how to include LoS and LoR in the governance of infrastructure assetsWP2: Data acquisition, collection, integration and management systemT 2.2 “Hot spot risk mapping and impact ranking” GIS tool T 2.4 “Virtual modelling and asset failure prediction”T 2.5’s “BIM based alerting SAS platform” WP3: Design and development of novel adaptation measures. New materials and systemsT 3.1: New Permeable asphalt pavements and T 3.2: New single kit for slope stabilization-protection systemsT 3.3: Strategies towards Sustainable Drainage SystemsT 3.4: Analysis and implementation of innovative engineering of links to allow a smooth transfer from modes in case of extreme eventsWP4: Updated methodologies, practices and solutionsT 4.1 “Revision of climatic databases and development of a new flooding methodology” progressesT 4.2 “Development of Shakemaps based on semiempirical approaches” develops seismic hazard assessment methodology based on the generation of shaking scenarios using synthetic accelerogramsT 4.3 “Development of algorithms for the selection and definition of efficient and optimal actions” has developed 1st versions of 2 algorithms to be used in the assessment of resilience using simulations, and a methodology for prioritizing resilience enhancingT 4.4 “Development of a hybrid data fusion framework” aims to merge knowledge from diverse monitoring informationT 4.5 “Updated SHM algorithms”. There is no single method able to solve the problem in real practice. As a result of it, the proposed approach is mixing model-based and data-driven methodsWP5: FORESEE Response, mitigation and adaptation toolkitSub-T 5.2.1: Data Integration Process is defining 1st and implement later the functions and models for the integration of various data from multiple sources and toolsSub-T 5.2.2 Interfaces defines first and implements later the interfaces for the management and interoperability among the multiple modules in the toolkit and data sources WP6 “Case study application. Validation test cases” anticipated to M6 to provide feedback WP7 “Resilience scheme application” deals with the definition of operational resilience schemes to reduce the impact and consequences of extreme events in transport networksPartner:A complete overview of all the FORESEE results can be reviewed in the Leraning hub section inside the FORESEE offical website (https://foreseelearning.eu/) including brief presentations to them, ppts and videos. Each result included has the contact info of the main partner which has developed that result in order to enhance the possible exploitation of those results after the project. Public results have been uploaded to the website (https://foreseeproject.eu/publications/) for public dissemination of them. Partners have agreed different exploitation strategies to exploit the results obtanied in the project. Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far) The introduction of resilience schemes and tools into EU infrastructure management processes is still at a very early stage. Although, there have been studies and projects developing methodologies and certain technologies, there is a clear gap in the form of integrated methodologies and tools that can be integrated in real maintenance and upgrading processes, and in particular, providing added value to infrastructure managers and operators in providing reliable data and guidance for decision making to improve resilience and operation in emergency situations.SITUATION AWARENESS AND RESILIENCE DECISION SUPPORT SYSTEMSProvide an overview of this definition and indicator landscape and will make a proposal of how the definitions and the indicators should be used. Demonstrate how structural deformations can be detected from satellite imagery and then combined with in-situ sensor data and virtual physical environments Offer ways of intelligibly processing the Big stream of Data aimed for infrastructures' managementProvide an interdependency methodology for better assessment of the overall vulnerabilities and the proper counter-event measuresImplement an asset failure prediction capability based on algorithms that can map the highest vulnerability areasNEW MATERIALS, TECHNIQUES AND SYSTEMSProvide the use of novel materials and designs for pavements and slope stabilizationMake use of statistical techniques to improve the currents calculations for determining flows of water and improve the design of SDSProvide performance based designs concepts for safety routes and areas inside multi-hubs.