iCrowd: agent-based behavior modeling and crowd simulator

Vassilios I. Kountouriotis; Manolis Paterakis; Stelios C. A. Thomopoulos

doi:10.1117/12.2223109

17 May 2016 iCrowd: agent-based behavior modeling and crowd simulator

Vassilios I. Kountouriotis, Manolis Paterakis, Stelios C. A. Thomopoulos

Proceedings Volume 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV; 98420Q (2016) https://doi.org/10.1117/12.2223109
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

Initially designed in the context of the TASS (Total Airport Security System) FP-7 project, the Crowd Simulation platform developed by the Integrated Systems Lab of the Institute of Informatics and Telecommunications at N.C.S.R. Demokritos, has evolved into a complete domain-independent agent-based behavior simulator with an emphasis on crowd behavior and building evacuation simulation. Under continuous development, it reﬂects an eﬀort to implement a modern, multithreaded, data-oriented simulation engine employing latest state-of-the-art programming technologies and paradigms. It is based on an extensible architecture that separates core services from the individual layers of agent behavior, oﬀering a concrete simulation kernel designed for high-performance and stability. Its primary goal is to deliver an abstract platform to facilitate implementation of several Agent-Based Simulation solutions with applicability in several domains of knowledge, such as: (i) Crowd behavior simulation during [in/out] door evacuation. (ii) Non-Player Character AI for Game-oriented applications and Gamiﬁcation activities. (iii) Vessel traﬃc modeling and simulation for Maritime Security and Surveillance applications. (iv) Urban and Highway Traﬃc and Transportation Simulations. (v) Social Behavior Simulation and Modeling.

Citation Download Citation

Vassilios I. Kountouriotis, Manolis Paterakis, and Stelios C. A. Thomopoulos "iCrowd: agent-based behavior modeling and crowd simulator", Proc. SPIE 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, 98420Q (17 May 2016); https://doi.org/10.1117/12.2223109

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