Parallel simulation of traffic in Geneva using cellular automata
Virtual shared memory for distributed architectures
Cellular Automata Simulation for Traffic Flow with Advanced Control Vehicles
CSEWORKSHOPS '08 Proceedings of the 2008 11th IEEE International Conference on Computational Science and Engineering - Workshops
Study on asymmetric two-lane traffic model based on cellular automata
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
Performance evaluation of road traffic control using a fuzzy cellular model
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Objects detection and tracking in highly congested traffic using compressed video sequences
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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This paper introduces a fuzzy cellular model of road traffic that was intended for on-line applications in traffic control. The presented model uses fuzzy sets theory to deal with uncertainty of both input data and simulation results. Vehicles are modelled individually, thus various classes of them can be taken into consideration. In the proposed approach, all parameters of vehicles are described by means of fuzzy numbers. The model was implemented in a simulation of vehicles queue discharge process. Changes of the queue length were analysed in this experiment and compared to the results of NaSch cellular automata model.