SE-Star : THALES Crowd Simulation

SE-Star uses a Biomimetic control architecture based on navigation (Hippocampus), action selection (Basal ganglia) and planning (Frontal cortex). Use-cases are: design of critical infrastructures and business processes, supervision (video & crowd) operators’

Activities designed to facilitate the learning and development of knowledge, skills, and abilities, and to improve the performance of specific tasks or roles.

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, data generation for deep neural networks Activities designed to facilitate the learning and development of knowledge, skills, and abilities, and to improve the performance of specific tasks or roles.

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(video & dataset generation), decision support, what-if

Pre-planned storyline that drives an exercise, as well as the stimuli used to achieve exercise project performance objectives.

DRIVER+ note 1: In the context of DRIVER+ scenarios are defined for Trials not for exercises.

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exploration and collaborative systems testbed.

SE-Star can provide information from high level (density, alarms and situation reports) to low level (individual’s information, devices’ status). It can simulate between 5000 and 10000 peoples on one computer in real time and can work in distributed mode pushing limits (tested with 80000 peoples on 10 IntelTM NUC computers). SE-Star has been used in the EU projects (Opti-Alert, SECURE-Ed, iCore) and in THALES projects covering airports (Pisa), train stations (Gare du Nord) or crowded places (Mecca). Easily extendable, it has been connected to real systems (crowd monitoring, airport supervision) using standard interfaces and protocols (SOAP, REST, RTSP).