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A Decision Support Approach for Postal Delivery and Waste Collection Services

机译:邮递和废物收集服务的决策支持方法

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This paper presents an urban-decision support system (U-DSS) devoted to manage, in a unified framework, the logistic services of the smart cities, such as postal delivery (PD) and waste collection (WC) services. The U-DSS architecture is proposed by describing its main components. In particular, this paper focuses on the core of the U-DSS, i.e., the model component that provides the solutions of a general vehicle assignment and routing optimization problem with the aim of minimizing the length of the routes and satisfying time and capacity constraints. In order to solve the vehicle routing problems in reasonable time, a two-phase heuristic algorithm is proposed based on a clustering strategy and a farthest insertion heuristic for the solution of a traveling salesman problem. The applicability of the proposed U-DSS is enlightened by comparing the proposed heuristic algorithm solutions with the mixed integer linear programming problem solutions of the PD and WC services. Moreover, the discussion of the real case studies of the city of Bari (Italy) assesses the proposed approach.
机译:本文提出了一种城市决策支持系统(U-DSS),用于在统一框架中管理智慧城市的物流服务,例如邮政(PD)和废物收集(WC)服务。通过描述其主要组件来提出U-DSS体系结构。特别是,本文着重于U-DSS的核心,即模型组件,该模型组件提供了一般车辆分配和路线优化问题的解决方案,目的是使路线的长度最小化并满足时间和容量约束。为了在合理的时间内解决车辆路径问题,提出了一种基于聚类策略和最远插入启发式的两阶段启发式算法,用于求解旅行商问题。通过将提出的启发式算法解决方案与PD和WC服务的混合整数线性规划问题解决方案进行比较,可以提高提出的U-DSS的适用性。此外,对巴里市(意大利)的真实案例研究的讨论评估了所建议的方法。

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