PLOTO project

The Project

The project entitled “Deployment and Assessment of Predictive modelling, environmentally sustainable and emerging digital technologies and tools for improving the resilience of IWW against Climate change and other extremes (PLOTO)” aims at increasing the resilience of the Inland WaterWays (IWW) infrastructures and the connected land- infrastructures, thus ensuring reliable network availability under unfavourable conditions, such as extreme weather, accidents, and other kind of hazards. The main target is to combine downscaled climate change scenarios (applied to IWW infrastructures) with simulation tools and actual data, to provide the relevant authorities and their operators with an integrated tool able to support more effective management of their infrastructures at strategic and operational levels.

Towards this direction, PLOTO aims to:

• Use high-resolution modelling data for the determination and assessment of the climatic risk of the selected transport infrastructures and associated expected damages.
• Use existing data from various sources with new types of sensor-generated data (computer vision) to feed the used simulator.
• Utilise tailored weather forecasts (combining seamlessly all available data sources) for specific hot spots, providing early warnings with corresponding impact assessment in real-time.
• Develop improved multi-temporal, multi-sensor UAV- and satellite-based observations with robust spectral analysis, computer vision and machine learning-based assessment for diverse transport infrastructures.
• Design and implement an integrated Resilience Assessment Platform environment as an innovative planning tool that will permit a quantitative resilience assessment through an end-to-end simulation environment, running “what-if” impact/risk/resilience assessment scenarios. The effects of adaptation measures can be investigated by changing the hazard, exposure, and vulnerability input parameters.
• Design and implement a Common Operational Picture (COP), including an enhanced visualisation interface and an Incident Management System (IMS).