211 research outputs found

    The city of the crescent; with pictures of Harem life, or The turks in 1854. By Gordon O.L. Gordon Trenery, Esq. Author of "the morning Land" etc. etc. In two volumes London΄Charles J. skeet 10, king William street, Charing cross. 1855.

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    Preface: by Trenery CordonDedication:Content description: Detailed contentsIllustration: 2 (Views ,)Pagination: PP16+303P, PP10+309+1PPVolumes: 2Text Genre:ProseEpilogue: as conclusion at the last chapterIllustration: 2 (τοπία ,

    An approximate solution of loaded hyperbolic equation with homogenios boundary conditions

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    О.Л. Бозиев, Институт информатики и проблем регионального управления Кабардино-Балкарского научного центра РАН, г. Нальчик, Российская Федерация E-mail: [email protected]. O.L. Boziev Institute of Computer Science and Problems of Regional Management of KBSC of the Russian Academy of Sciences, Nal'chik, Russian Federation E-mail: [email protected]Получена формула приближенного решения начально-краевой задачи для нагруженного гиперболического уравнения, для нахождения которого используется априорная оценка решения поставленной задачи. The article proposes a method for solving hyperbolic equation with a spatial variable integral of the natural powers of the unknown function modulus, whereby it is loaded. The author considers an initial boundary value problem with homogeneous boundary conditions. Scalar products of the equation by various functionals and subsequent conversions make it possible to obtain a priori estimates of solutions of the problem in various spaces. By successive integration over the spatial variable the reduction to an ordinary differential equation associated with the initial one is produced. Its approximate solution is sought using a priori estimates that are obtained. Found function leads to the formula that expresses the approximate solution to the original problem through the right parts of the initial conditions

    Robust model-based optimization of evacuation guidance

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    Large scale disasters, such as floods and fires, cause many casualties. This risk of casualties is reduced by evacuating the people from the threatened region. By guiding these people, i.e. instructing them when and where to go, the efficiency of the evacuation is increased. This means that, for example, the time needed for the evacuation is reduced. This thesis discusses the literature on optimization methods for car-based evacuation guidance. While many optimization methods are developed, the attention for uncertainty and compliance behavior in these methods is limited. This while these factors are of great importance for evaluating guidance in a realistic way. These findings are the reason to ask the following question: How can evacuation guidance be optimized in an efficient way, while incorporating uncertainty and compliance behavior? This thesis answers this question by formulating problems, presenting solution approaches and analyzing the results of case studies. The problem formulations contain decision variables representing guidance, consisting of departure time, route, and destination instructions for all evacuees. An objective function expresses the performance of this guidance. A travel behavior model and a traffic propagation model are included in the problem formulation to evaluate the guidance resulting in the performance value. The formulations and approaches are flexible with respect to the modeling assumptions. This is important because of the high degree of development of evacuation models. The first specific problem formulation presented in this thesis incorporates compliance behavior in the optimization of evacuation guidance. This problem is solved by a metaheuristic based on ant colony optimization. The method is applied to develop evacuation guidance for a hypothetical flood of part of The Netherlands. This case study shows that the optimized guidance increases the evacuation efficiency compared to no guidance or guidance developed by simple rules. This can be explained by the spread of travelers over time and space. The case study also shows that the solution approach results in a solution which effectiveness is close to the effectiveness of the optimal solution. The problem formulation is extended such that all kinds of uncertainty, like uncertainty in the demand, the behavior and the capacity, can be incorporated. This formulation is based on scenarios, which are representations of the uncertainty. Two procedures to select these scenarios are proposed, i.e. a deterministic procedure which results in a set of scenarios that is constant over the iterations of the solution approach, and a stochastic procedure that results in varying scenarios over the iterations. A case study shows the usefulness of incorporating uncertainty in the evacuation problem. For most cases holds that the efficiency of the evacuation increases when uncertainty is incorporated. The case study also shows that incorporating uncertainty is computationally demanding. Solving the evacuation problem is computationally expensive because of a high number of decision variables and high evaluation costs. A fixed-point approach is presented that efficiently optimizes evacuation guidance, in particular route guidance. This approach decomposes the original problem into simpler problems that are iteratively solved resulting in an approximate solution to the original problem. This approach overcomes the difficulties associated with the original problem. A case study shows that the fixed-point approach substantially speeds up the optimization of route guidance, while maintaining a comparable effectiveness of the resulting guidance. This thesis gives new insights in how beneficial evacuations are and how realistic plans can be optimized efficiently. The presented methods are ready for use in practice regarding the development of car-based evacuation guidance. Guidance can be optimized and, if available, it can be compared with existing plans. The guidance will be part of a broader plan that includes, for example, evacuation by public transport and communication and operation strategies.Transport & PlanningCivil Engineering and Geoscience
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