Carbon pricing initiatives-based bi-level pollution routing problem
Carbon pricing initiatives-based bi-level pollution routing problem
复制标题
基于碳定价举措的双层污染路径问题
DOI：
10.1016/j.ejor.2020.03.012
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发表时间：
2020-10
影响因子：
6.4
通讯作者：
Yinhai Wang
中科院分区：
文献类型：
--
作者：
Rui Qiu;Jiuping Xu;Ruimin Ke;Ziqiang Zeng;Yinhai Wang
污染路由问题的目的是路由的车辆数量，并确定他们的速度在每个路段，以最小化总成本，包括燃料，排放和驾驶员成本。最近，碳定价倡议在世界范围内得到广泛实施。考虑到碳定价方案与货运计划之间的相互影响，提出了一种基于碳定价方案的两级污染路径问题。针对基于碳定价倡议的双层污染路由问题，设计了一种基于模糊逻辑控制的粒子群算法和改进的自适应大邻域搜索启发式算法的交互式求解方法.然后进行计算实验和分析，阐明碳定价举措对碳排放量和货运公司的总成本的影响。在这一部分中，扩展模型的基于碳定价倡议的双层污染路由问题的货运公司提供到多个区域和多个货运公司，并使用基于交互式求解方法的算法计算。研究结果表明，该方法能够促进货运企业改善排放绩效，为政府制定道路货运碳减排决策提供参考。
The pollution-routing problem aims to route a number of vehicles and determines their speeds on each route segment to minimize total cost, including fuel, emission and driver costs. Recently, carbon pricing initiatives have been widely implemented worldwide. With consideration of the interactions between carbon pricing initiatives and freight schedules, this paper presents a carbon pricing initiatives-based bi-level pollution routing problem involving an authority and a freight company. An interactive solution approach integrating a fuzzy logic controlled particle swarm optimization and a modified adaptive large neighborhood search heuristic is designed to search for solutions for the carbon pricing initiatives-based bi-level pollution routing problem. Computational experiments and analysis are then conducted to shed light on the influence of carbon pricing initiatives on carbon emissions and the total cost of freight companies. In this part, extended models for the carbon pricing initiatives-based bi-level pollution routing problem with a freight company delivering to multiple regions and with multiple freight companies are proposed and computed using the algorithms based on the interactive solution approach. The results indicate that the proposed method can promote freight company improvements in emission performance, and assist authorities in making decisions for road freight transport carbon emission reduction.
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影响因子：
4.1
作者：
S. Majidi;Seyyed-Mahdi Hosseini-Motlagh;Joshua Ignatius
通讯作者：
S. Majidi;Seyyed-Mahdi Hosseini-Motlagh;Joshua Ignatius
DOI：
10.1287/opre.1120.1112
发表时间：
2010-12
期刊：
Oper. Res.
影响因子：
--
作者：
F. Benth;G. Dahl;C. Mannino
通讯作者：
F. Benth;G. Dahl;C. Mannino
DOI：
10.1287/trsc.2015.0646
发表时间：
2016-02
期刊：
Transp. Sci.
影响因子：
--
作者：
S. Pelletier;O. Jabali;G. Laporte
通讯作者：
S. Pelletier;O. Jabali;G. Laporte
DOI：
10.1007/978-3-319-44427-7
发表时间：
2016
期刊：
--
影响因子：
--
作者：
通讯作者：
--
影响因子：
5.6
作者：
S. K. Ribeiro
通讯作者：
S. K. Ribeiro