271 research outputs found

    A control theoretic model of driver steering behavior

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    A quantitative description of driver steering behavior such as a mathematical model is presented. The steering task is divided into two levels: (1) the guidance level involving the perception of the instantaneous and future course of the forcing function provided by the forward view of the road, and the response to it in an anticipatory open-loop control mode; (2) the stabilization level whereby any occuring deviations from the forcing function are compensated for in a closed-loop control mode. This concept of the duality of the driver's steering activity led to a newly developed two-level model of driver steering behavior. Its parameters are identified on the basis of data measured in driving simulator experiments. The parameter estimates of both levels of the model show significant dependence on the experimental situation which can be characterized by variables such as vehicle speed and desired path curvature

    A Qualitative Case Study: The Lived Educational Experiences of Former Juvenile Delinquents

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    The impact of juvenile delinquency on society is an issue of great concern. The impact of delinquent behaviors goes beyond the victim to include the offender, the offender’s family and society as a whole. A review of the existing literature reveals multiple studies, which examine delinquency from a causal perspective. Despite the efforts of researchers a definitive causal link is not readily determined. Ethical concerns centering around a quantitative study on delinquency precludes the discovery of such a causal link. Utilizing a qualitative study approach we may not be able to identify causal relationships; however, this approach provides clear insight into the lived experiences of the individuals being studied and in turn offers us the possibility of understanding what these experiences were and how they possibly impacted the individual. It is through this understanding of the lived experiences that we gain insight. This insight will, hopefully, facilitate the prediction of and the mediation of anti-social juvenile behavior

    A network-based microfoundation of Granovetter's threshold model for social tipping

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    Social tipping, where minorities trigger larger populations to engage in collective action, has been suggested as one key aspect in addressing contemporary global challenges. Here, we refine Granovetter's widely acknowledged theoretical threshold model of collective behavior as a numerical modelling tool for understanding social tipping processes and resolve issues that so far have hindered such applications. Based on real-world observations and social movement theory, we group the population into certain or potential actors, such that -- in contrast to its original formulation -- the model predicts non-trivial final shares of acting individuals. Then, we use a network cascade model to explain and analytically derive that previously hypothesized broad threshold distributions emerge if individuals become active via social interaction. Thus, through intuitive parameters and low dimensionality our refined model is adaptable to explain the likelihood of engaging in collective behavior where social tipping like processes emerge as saddle-node bifurcations and hysteresis

    A k-shell decomposition method for weighted networks

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    We present a generalized method for calculating the k-shell structure of weighted networks. The method takes into account both the weight and the degree of a network, in such a way that in the absence of weights we resume the shell structure obtained by the classic k-shell decomposition. In the presence of weights, we show that the method is able to partition the network in a more refined way, without the need of any arbitrary threshold on the weight values. Furthermore, by simulating spreading processes using the susceptible-infectious-recovered model in four different weighted real-world networks, we show that the weighted k-shell decomposition method ranks the nodes more accurately, by placing nodes with higher spreading potential into shells closer to the core. In addition, we demonstrate our new method on a real economic network and show that the core calculated using the weighted k-shell method is more meaningful from an economic perspective when compared with the unweighted one.Comment: 17 pages, 6 figure
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