Generate the required datasets to design models of local physical interactions (WP2), establish the relations between the macroscopic features of a crowd motion with the microscopic features of physical interactions (WP4) and validate technologies resulting from the project.
Deliver a new generation of crowd simulation techniques that can predict crowd behaviours at macroscopic scales from numerical models of physical interactions. WP2 is strongly connected to WP1.
Deliver a new method for crowd motion analysis that is capable of estimating the intensity of physical interactions between individuals from the observation of macroscopic crowd motion features.
Explore usage of the main technologies developed along the project CrowdDNA, namely, the CrowdDNA analysis method and develop management techniques that explore the best usage of this information.
Disseminate and exploit research outputs & communicate to wider public.
Ensure high quality and relevant research outputs, ensure financial management, ensure full and timely communications between partners and manage risks.
Set out the "ethics requirements" that the project must comply with.
*Public deliverables are available on the project report page
CrowdDNA © 2021. All rights reserved. | Designed by ArtificialIdeas
This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 899739.
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