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.
WP2: Modelling and Simulating High Density Crowds
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.
WP3: Macro-to-micro Crowd Motion Analysis
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.
WP4: Crowd Management Technologies
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.
WP5: Dissemination, Exploitation & Communication
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.
WP7: Ethics requirements
Set out the "ethics requirements" that the project must comply with.
D1.1: Laboratory dataset on small groups
D1.2: Laboratory dataset on large groups
D1.3: Field dataset
D1.4: Numerical dataset
D2.1: Internal version of the simulator
D2.2: CrowdDNA simulator prototype
D3.1: ML Generator to analyse crowd movements in videos
D3.2: ML Detector to analyse crowd movements in videos
D3.3: CrowdDNA analysis prototype
D4.1: Report on Crowd Observatories
D4.2: Crowd management solutions
D4.3: Information system for authorities
D4.4: Information system for individuals
D5.1: Initial Plan on Dissemination and Exploitation