The EXTRACT project, introduces a pioneering application of UDT in Venice, Italy—a city known for its unique architectural complexity and significant tourist influx. The UDT developed by LOGOS exemplifies advanced digital twin technology applied in urban settings.
Watch our videos to learb how the EXTRACT project is harnessing the power of data and testing its solutions in the PER and TASKA use case.
Implementing the PER system and creating a Multi-Agent Reinforcement Learning (MARL) model requires a preliminary phase that simulates the possible movements of people in an emergency situation to properly train the model.. A true-to-life simulator offers a safe and controlled platform for testing learning strategies in different situations.
On 2 February 2024, fifty retired policemen and women were called on to participate in a simulation activity that feeds into the project’s Personalised Evacuation Route use case. These volunteers met on San Servola island to help visually represent the change in crowd speed stemming from different obstacles put in their path.
Elli Kartsakli and Alba Cañete from the BSC presented at the Barcelona Beat Agora, hosted by the Barcelona City Council on 26 February. Their presentation focused on smart city applications of the key enabling technologies that facilitate extreme data mining. It also included an introduction into the Venice Personalised Evacuation Route crisis management use case.