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Sustainable Lighting Layout in Urban Areas: Maximizing Implicit Coverage and Minimizing Installation Cost

机译:城市地区的可持续照明布局:最大程度地隐含覆盖面并最小化安装成本

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A key decision in the design of urban lighting is the location of the luminaries that are used to illuminate the specified region. The decision needs to account for coverage requirements identified in certain areas, based on safety considerations and nature of work activity, along with ensuring the cost effectiveness of the installation pattern adopted. In this work, a novel approach is presented via a multi-objective mathematical optimisation model that results in a sustainable layout of light poles in urban region. A maximal coverage objective, with implicit demand cover, is formulated as a measure of the social requirement in urban lighting, which models security and safety associated with night-time lighting of the urban region. At the same time, the economical aspect of the layout is considered via minimising the installation cost of the lighting layout. A realistic case example is then solved using the ?μ-constraint method. A Pareto optimal front for the case considered is constructed and analysed.
机译:城市照明设计的一个关键决定是用于照明指定区域的照明设备的位置。该决策需要根据安全考虑和工作活动的性质,考虑在某些区域中确定的覆盖范围要求,并确保所采用安装模式的成本效益。在这项工作中,通过多目标数学优化模型提出了一种新颖的方法,该模型导致了城市地区灯杆的可持续布局。制定了具有隐性需求覆盖范围的最大覆盖范围目标,以衡量城市照明中的社会需求,该模型对与城市夜间照明相关的安全性进行建模。同时,通过最小化照明布局的安装成本来考虑布局的经济方面。然后使用?μ约束方法解决一个实际案例。构造并分析了所考虑情况的帕累托最优前沿。

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