Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
A cellular automaton simulation tool for modelling seismicity in the region of Xanthi
Environmental Modelling & Software
A reconfigurable computing framework for multi-scale cellular image processing
Microprocessors & Microsystems
An Intelligent Cellular Automaton Model for Crowd Evacuation in Fire Spreading Conditions
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Multi-Agent Simulation of Circular Pedestrian Movements Using Cellular Automata
AMS '08 Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS)
Real-time disparity map computation module
Microprocessors & Microsystems
SITUATED CELLULAR AGENTS APPROACH TO CROWD MODELING AND SIMULATION
Cybernetics and Systems
Potential Field Approach of a Cellular Automaton Evacuation Model and Its FPGA Implementation
ACRI '08 Proceedings of the 8th international conference on Cellular Automata for Reseach and Industry
FPGA Implementation of Cellular Automata Spaces Using a CAM Based Cellular Architecture
AHS '08 Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems
Modeling Groups of Pedestrians in Least Effort Crowd Movements Using Cellular Automata
AMS '09 Proceedings of the 2009 Third Asia International Conference on Modelling & Simulation
A scalable configurable architecture for the massively parallel GCA model
International Journal of Parallel, Emergent and Distributed Systems - Advances in Parallel and Distributed Computational Models
A crowd evacuation simulation model based on 2.5-dimension cellular automaton
VECIMS'09 Proceedings of the 2009 IEEE international conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems
Modelling earthquake activity features using cellular automata
Mathematical and Computer Modelling: An International Journal
Design automation of cellular neural networks for data fusion applications
Microprocessors & Microsystems
Cellular automata on FPGA for real-time urban traffic signals control
The Journal of Supercomputing
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This paper studies the on-chip realisation of a dynamic model proposed to simulate crowd behaviour, originated from electrostatic-induced potential fields. It is based on cellular automata (CA), thus taking advantage of their inherent ability to represent sufficiently phenomena of arbitrary complexity and, additionally, to be simulated precisely by digital computers. The model combines electrostatic-induced potential fields to incorporate flexibility in the movement of pedestrians. It primarily calculates distances in an obstacle filled space based on the Euclidean metric. Furthermore, it adopts a computationally fast and efficient method to overcome trouble-inducing obstacles by shifting the moving mechanism to a potential field method based on Manhattan-distance. The hardware implementation of the model is based on FPGA logic. Initialisation of the dedicated processor takes place in collaboration with a detecting and tracking algorithm supported by cameras. The instant response of the processor provides the location of pedestrians around exits. Hardware implementation exploits the prominent feature of parallelism that CA structures inherently possess in contrast to the serial computers, thus accelerating the response of the model. Furthermore, FPGA implementation of the model is advantageous in terms of low-cost, high-speed, compactness and portability features. Finally, the processor could be used as a part of an embedded, real-time, decision support system, aiming at the efficient guidance of crowd in cases of mass egress.