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Development of Vehicle Routing model in urban Solid Waste Management system under periodic variation: A case study

机译:周期性变化的城市固体废物管理系统中车辆路径模型的开发:一个案例研究

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Collection cost of municipal solid waste constitutes the maximum portion in fund allocated for waste management. It can be minimized by taking the proper strategic decisions regarding the vehicle routing of collection vehicles. In this study, collection routes have been identified for 15 wards of Bilaspur city, India. A daily variation in waste generation from different sources has been considered. Constraints on a number of vehicles, routes and vehicle capacity were considered for the routing of vehicles. The Clark and Wright algorithm has been applied to find the optimal route of the vehicle. The network analyst tool set available in ArcGIS was used to find the optimized route for solid waste collection considering all the required parameters. The study also demonstrates the significant cost and carbon reductions that can be obtained due to the proper routing of the vehicle.
机译:城市固体废物的收集成本构成分配给废物管理资金的最大部分。通过针对收集车的车辆路线做出适当的战略决策,可以将其最小化。在这项研究中,已经确定了印度Bilaspur市15个病区的收集途径。已经考虑到每天来自不同来源的废物的变化。在对车辆进行路线选择时,考虑了对许多车辆,路线和车辆容量的限制。克拉克和赖特算法已被用于寻找车辆的最佳路线。考虑到所有必需参数,使用了ArcGIS中可用的网络分析器工具集来查找固体废物收集的优化路线。该研究还表明,由于车辆的正确路线选择,可以显着降低成本并减少碳排放。

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