1,024 research outputs found

    A Cellular Automaton Model for Bi-Directionnal Traffic

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    We investigate a cellular automaton (CA) model of traffic on a bi-directional two-lane road. Our model is an extension of the one-lane CA model of {Nagel and Schreckenberg 1992}, modified to account for interactions mediated by passing, and for a distribution of vehicle speeds. We chose values for the various parameters to approximate the behavior of real traffic. The density-flow diagram for the bi-directional model is compared to that of a one-lane model, showing the interaction of the two lanes. Results were also compared to experimental data, showing close agreement. This model helps bridge the gap between simplified cellular automata models and the complexity of real-world traffic.Comment: 4 pages 6 figures. Accepted Phys Rev

    Development of a Multidimensional, Multi-Informent Measure of Teacher Mindfulness as Experienced and Expressed in the Middle School Classroom

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    In response to growing interest in mindfulness as a support for educators, the current study sought to create and test a new multidimensional and multi-informant measure of teacher mindfulness in the classroom. To counter some of the limitations of context-general self-reports, we designed two theoretically based classroom-specific measures that capture the experience and expression of mindful teacher behavior from the perspective of teachers and students. Drawing on emerging consensus from experts on mindfulness in education, the measures incorporated three dimensions of mindfulness, namely, Calm, Clear, and Kind teacher behavior in the classroom, as well as their antitheses, namely, Reactive, Distracted, and Critical teacher behavior. Utilizing data from 78 sixth- to eighth-grade teachers and 550 of their students, teacher- and student-report item sets tapping these dimensions were tested for reliability and validity across three time points. Based on confirmatory factor, reliability, structural invariance, and correlational analyses, subscales generally demonstrated satisfactory psychometric properties, cross-year stabilities, convergent and criterion validity with multiple established measures, and some overlap across reporters. In terms of connections to observer ratings from the CLASS-S, teacher subscales showed consistent but modest connections, whereas student subscales showed higher correlations (especially at time 2), suggesting that students and observers converged in their perceptions of teachers’ expressions of mindfulness. Possible improvements to both measures as well as implications for future research on teacher mindfulness are discussed

    Fuzzy cellular model for on-line traffic simulation

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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.Comment: The original publication is available at http://www.springerlink.co

    A Simplified Cellular Automaton Model for City Traffic

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    We systematically investigate the effect of blockage sites in a cellular automaton model for traffic flow. Different scheduling schemes for the blockage sites are considered. None of them returns a linear relationship between the fraction of ``green'' time and the throughput. We use this information for a fast implementation of traffic in Dallas.Comment: 12 pages, 18 figures. submitted to Phys Rev

    Slow, Steady-State Transport with "Loading" and Bulk Reactions: the Mixed Ionic Conductor La2_2CuO4+δ_{4+\delta}

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    We consider slow, steady transport for the normal state of the superconductor La2_2CuO4+δ_{4+\delta} in a one-dimensional geometry, with surface fluxes sufficiently general to permit oxygen to be driven into the sample (``loaded'') either by electrochemical means or by high oxygen partial pressure. We include the bulk reaction O\toO2+2h^{2-}+2h, where neutral atoms (aa) go into ions (ii) and holes (hh). For slow, steady transport, the transport equations simplify because the bulk reaction rate density rr and the bulk loading rates tn\partial_t n then are uniform in space and time. All three fluxes jj must be specified at each surface, which for a uniform current density JJ corresponds to five independent fluxes. These fluxes generate two types of static modes at each surface and a bulk response with a voltage profile that varies quadratically in space, characterized by JJ and the total oxygen flux jOj_O (neutral plus ion) at each surface. One type of surface mode is associated with electrical screening; the other type is associated both with diffusion and drift, and with chemical reaction (the {\it diffusion-reaction mode}). The diffusion-reaction mode is accompanied by changes in the chemical potentials μ\mu, and by reactions and fluxes, but it neither carries current (J=0) nor loads the system chemically (jO=0j_O=0). Generation of the diffusion-reaction mode may explain the phenomenon of ``turbulence in the voltage'' often observed near the electrodes of other mixed ionic electronic conductors (MIECs).Comment: 11 pages, 1 figur

    Human behavior as origin of traffic phases

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    It is shown that the desire for smooth and comfortable driving is directly responsible for the occurrence of complex spatio-temporal structures (``synchronized traffic'') in highway traffic. This desire goes beyond the avoidance of accidents which so far has been the main focus of microscopic modeling and which is mainly responsible for the other two phases observed empirically, free flow and wide moving jams. These features have been incorporated into a microscopic model based on stochastic cellular automata and the results of computer simulations are compared with empirical data. The simple structure of the model allows for very fast implementations of realistic networks. The level of agreement with the empirical findings opens new perspectives for reliable traffic forecasts.Comment: 4 pages, 4 figures, colour figures with reduced resolutio
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