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首页> 外文期刊>EURO journal of transportation and logistics >Optimization of a city logistics transportation system with mixed passengers and goods
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Optimization of a city logistics transportation system with mixed passengers and goods

机译：客货混合的城市物流运输系统的优化

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In this paper, we propose a mathematical model and an adaptive large neighborhood search to solve a two-tiered transportation problem. This problem arises in a prospective study that aims at designing an innovative distribution system for goods in congested city cores. In the first tier, goods are transported in city buses from a consolidation and distribution center to a set of bus stops. The main idea is to use the buses spare capacity to drive the goods to the city core. In the second tier, final customers are distributed by a fleet of near-zero emissions city freighters. This system requires transferring the goods from buses to city freighters at the bus stops. We model the corresponding optimization problem as a variant of the pickup and delivery problem with transfers and solve it with an adaptive large neighborhood search. To evaluate its results, lower bounds are calculated with a column generation approach. The algorithm is assessed on data sets derived from a field study in the medium-sized city of La Rochelle in France.
机译：在本文中，我们提出了一个数学模型和一个自适应的大邻域搜索来解决两层交通问题。这个问题出现在一项前瞻性研究中，该研究旨在为拥挤的城市核心地区的商品设计创新的分销系统。在第一层，货物在城市公交车中从整合和配送中心运输到一组公交车站。主要思想是利用公交车的剩余容量将货物运送到市中心。在第二层，最终客户由排放量接近零的城市货轮组成。该系统需要在公共汽车站将货物从公共汽车转移到城市货轮。我们将相应的优化问题建模为带有转移的收货和发货问题的变体，并通过自适应大邻域搜索解决它。为了评估其结果，使用列生成方法计算下限。该算法是根据来自法国中型城市拉罗谢尔的现场研究得出的数据集进行评估的。

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