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MUNICIPAL WASTE COLLECTION OF LARGE ITEMS OPTIMIZED WITH ARC GIS NETWORK ANALYST

机译:与ArcGIS Network Analyst进行优化的大型物品的市政废物收集

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In the present paper the ArcGIS Network Analyst Algorithm is introduced for best routing identification applied in municipal waste collection of large items. The proposed application takes into account all the required parameters for the waste collection of large items so as its desktop users to be able to model realistic network conditions and scenarios. In this case, the simulation consists of scenarios of visiting loading spots in the municipality of Athens, in order to collect large items that couldn't be collected by the standard waste collection trucks, due to size and other prohibitive obstacles. The Network Analyst is used to estimate interrelations between the dynamic factors, like network traffic changes (closed roads due to natural or technical causes, for example, fallen trees, car accidents, etc) in the area under study and to produce optimized solutions. The user is able to define or modify all the required dynamic factors for the creation of an initial scenario, and by modifying these particular parameters, alternative scenarios can be generated leading to several solutions. Finally, the optimal solution is identified by a function that takes into consideration various parameters, for example the shortest distance, road network as well as social and environmental implications.
机译:在本文中,ArcGIS网络分析师算法被引入用于最佳路由识别,以便在城市废物收集大型物品中。建议的申请考虑了废物收集大项目的所有必需参数,以便其桌面用户能够建模逼真的网络条件和场景。在这种情况下,模拟包括访问雅典市的载荷点的情况,以收集标准废物收集卡车无法收集的大物品,由于尺寸和其他禁止障碍。网络分析师用于估计动态因素之间的相互关系,如网络流量变化(由于自然或技术原因,例如,倒下的树木,汽车事故等)在研究中和生产优化的解决方案。用户能够定义或修改创建初始方案的所有所需的动态因子,并且通过修改这些特定参数,可以生成替代方案,导致几个解决方案。最后,通过考虑各种参数的函数来识别最佳解决方案,例如最短的距离,道路网络以及社会和环境含义。

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