(Development of a Decision Support System for increasing the Resilience of Transportation Infrastructure based on combined use of terrestrial and airborne sensors and advanced modelling tools)

Objective: One of the greatest challenges facing transport operators and engineers today is the fast and efficient inspection, assessment, maintenance and safe operation of existing infrastructures including highways and the overall road infrastructure network. Due to factors such as ageing, climate change, extreme weather conditions, increased traffic demands, change in use and inadequate maintenance, the transport infrastructures – including also railways, marine infrastructure, etc.- are progressively deteriorating and become more vulnerable, urgently needing inspection, assessment and repair work. PANOPTIS aims at increasing the resilience of the road infrastructures and ensuring reliable network availability under unfavourable conditions, through combining downscaled climate change scenarios with simulation tools and actual data, so as to provide the operators with an integrated tool able to support more effective management of their infrastructures at planning, maintenance and operation level. Towards this direction, PANOPTIS aims to develop an integrated platform that can be applied to road infrastructure to support operational and strategic decisions, addressing multi-hazard risk understanding, smart prevention and preparedness, faster, adapted and efficient response. The PANOPTIS integrated platform (and its sub-modules) will be validated in two real case studies in Spain and in Greece.

LHTEE Contribution: Within the frame of PANOPTIS, LHTEE will apply existing multi-scale modelling tools and develop novel methodologies for the assessment of atmospheric and climate stressors. The existing modelling expertise will be adjusted to facilitate management of extreme environmental situations to promote the resilience and sustainability of transport infrastructures. In particular, LHTEE will undertake the collection, quality control and pre-processing of existing climate data, in order to support the critical selection and quantification of key impact indicators that will be used as metrics of climate extremes. A coupled mesoscale-microscale modelling system which consists of the MEMICO methodology and the PALM LES model will be applied to assess the impacts of atmospheric stressors and soil-atmosphere interactions on the selected demonstration pilots. The methodology utilizes the Land Surface module of PALM LES to account for the impact of the local scale meteorological conditions on soil surface parameters which are used to provide primary and secondary impact indicators at real time. Another scientific innovation will involve developing, testing and applying the data assimilation software system for operationally incorporating sensor data into the modelling components of the PANOPTIS platform.

Funded by: European Commission, Horizon 2020

Major Partners:

  1. Airbus Defence and Space S.A.S, France
  2. National Technical University of Athens, Greece
  3. ACCIONA construction S.A., Spain
  4. Egnatia Odos S.A., Greece
  5. Future Intelligence, LTD, United Kingdom