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首页> 外文期刊>Intelligent Transport Systems, IET >Vehicle routing problem solution considering minimising fuel consumption
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Vehicle routing problem solution considering minimising fuel consumption

机译：考虑最小化燃油消耗的车辆路径问题解决方案

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摘要

Recently, logistics is not only playing more and more important role in social and economic development, but also caused serious energy consumption and environment pollution problems. Reasonable vehicle route planning is viewed as an important solution to reduce logistics enterprises' operation costs as well as alleviate the energy and environmental problems. This study aims to propose a solution to time-dependent vehicle routing problem with time windows (TDVRPTW) considering minimising fuel consumption. First, a mathematical TDVRPTW model with the minimum fuel consumption as an objective function is established, in which the three-dimensional bin-packing problem is considered as a sub-problem and the alternative stop point concept is newly proposed to reduce the possible detouring distance and fuel consumption of logistic vehicle. Then, an ant colony algorithm is applied to solve the problem, and the departure time optimisation is introduced to further improve the obtained results. Finally, the proposed approach is evaluated with the real road network and traffic data of Beijing. The results show that the method introduced in this study outperforms the existing approaches in reducing fuel consumption as well as route length.
机译：近年来，物流不仅在社会经济发展中起着越来越重要的作用，而且造成了严重的能源消耗和环境污染问题。合理的车辆路线规划被认为是减少物流企业运营成本以及减轻能源和环境问题的重要解决方案。这项研究的目的是考虑最小化燃油消耗，提出一种具有时间窗（TDVRPTW）的时变车辆路径问题的解决方案。首先，建立了以最小油耗为目标函数的数学TDVRPTW模型，其中将三维垃圾箱问题视为一个子问题，并提出了替代性停车点概念以减少可能的绕行距离和物流车辆的油耗。然后，采用蚁群算法来解决该问题，并引入出发时间优化以进一步改善获得的结果。最后，结合北京的实际路网和交通数据对提出的方法进行了评估。结果表明，本研究中引入的方法在减少燃油消耗以及路线长度方面优于现有方法。

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