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We report experimental results on unidirectional trafficlike collective movement of ants on trails. Our work is primarily motivated by fundamental questions on the collective spatiotemporal organization in systems of interacting motile constituents driven far from equilibrium. Making use of the analogies with vehicular traffic, we analyze our experimental(More)
Traffic-like collective movements are observed at almost all levels of biological systems. Molecular motor proteins like, for example, kinesin and dynein, which are the vehicles of almost all intra-cellular transport in eukayotic cells, sometimes encounter traffic jam that manifests as a disease of the organism. Similarly, traffic jam of collagenase MMP-1,(More)
Speech communication has several steps of production, encoding, transmission, decoding, and hearing. In every step, acoustic distortions are involved inevitably as differences of vocal tract length, gender , age, microphone, room, line, hearing characteristics, etc. These are static non-linguistic factors and completely irrelevant to speech recognition.(More)
We study discretisation effects in cellular automata models for pedestrian dynamics by reducing the cell size. Then a particle occupies more than one cell which leads to subtle effects in the dynamics, e.g. non-local conflict situations. Results from computer simulations of the floor field model are compared with empirical findings. Furthermore the(More)
We investigate the organization of traffic flow on preexisting uni-and bidirectional ant trails. Our investigations comprise a theoretical as well as an empirical part. We propose minimal models of uni-and bi-directional traffic flow implemented as cellular automata. Using these models , the spatio-temporal organization of ants on the trail is studied.(More)
In this paper, we propose a new approach for pedestrian dynamics. We call it a Real-coded Cellular Automata (RCA). The scheme is based on the Real-coded Lattice Gas (RLG), which has been developed for fluid simulation. Similar to RLG, the position and velocity can be freely given, independent of grid points. Our strategy including the procedure for updating(More)
The average pedestrian flow through an exit is one of the most important indices in evaluating pedestrian dynamics. In order to study the flow in detail, the floor field model, which is a crowd model using cellular automata, is extended by taking into account realistic behavior of pedestrians around the exit. The model is studied by both numerical(More)
A new stochastic cellular automaton (CA) model of traffic flow, which includes slow-to-start effects and a driver's perspective, is proposed by extending the Burgers CA and the Nagel-Schreckenberg CA model. The flow-density relation of this model shows multiple metastable branches near the transition density from free to congested traffic, which form a wide(More)