A Parallel Cellular Tool for Interactive Modeling and Simulation
IEEE Computational Science & Engineering
Still Flowing: Approaches to Traffic Flow and Traffic Jam Modeling
Operations Research
A TCAD system for VLSI implementation of the CVD process using VHDL
Integration, the VLSI Journal
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Parallel evolutionary modelling of geological processes
Parallel Computing
A cellular automaton simulation tool for modelling seismicity in the region of Xanthi
Environmental Modelling & Software
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
Microprocessors & Microsystems
Self-adaptive optimization for traffic flow model based on evolvable hardware
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
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Among different traffic features, the urban traffic has received a lot of attention due to the ongoing traffic congestion as a result of increased car usage, population growth, and changes in population density. In urban networks, the vehicles flow differs when compared with highways flow because of the freeway's low speed limit but mostly because of the traffic lights control. In this paper, a real-time hardware implemented bio-inspired model for traffic lights control is presented. The proposed model arrives from Cellular Automata (CAs), which have been proven very flexible and powerful computational traffic models, in that they are able to capture all previously mentioned basic phenomena that occur in traffic flows. The resulting CA model was hardware implemented on FPGA to take full advantage of the inherent parallelism of the CAs and to support the function of an advanced electronic system able to provide real-time adaptive control of traffic lights designed to consider traffic conditions for the whole intersections. The analytical results, obtained by application of the aforementioned FPGA CA processor are found in excellent agreement with the numerical simulations.