文献类型：期刊文献

英文题名：Heterogeneous Fleets for Green Vehicle Routing Problem With Traffic Restrictions

作者：Wang, Heng[1];Li, Menghan[1];Wang, Zhenyu[2];Li, Wei[1];Hou, Tianjiao[1];Yang, Xianyi[1];Zhao, Zhenzhen[3];Wang, Zhenfeng[1];Sun, Tong[4]

第一作者：Wang, Heng

通讯作者：Sun, T[1]

机构：[1]Henan Agr Univ, Coll Mech & Elect Engn, Zhengzhou 450002, Peoples R China;[2]Hebei Normal Univ Sci & Technol, Sch Math & Informat Technol, Qinhuangdao 066004, Hebei, Peoples R China;[3]Henan Univ Econ & Law, Coll Comp & Informat Engn, Zhengzhou 450002, Peoples R China;[4]Henan Agr Univ, Coll Informat & Management Sci, Zhengzhou 450002, Peoples R China

第一机构：Henan Agr Univ, Coll Mech & Elect Engn, Zhengzhou 450002, Peoples R China

通讯机构：[1]corresponding author), Henan Agr Univ, Coll Informat & Management Sci, Zhengzhou 450002, Peoples R China.

年份：0

外文期刊名：IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

收录：;EI(收录号：20223512673641);Scopus(收录号：2-s2.0-85136885452);WOS:【SCI-EXPANDED(收录号:WOS:000842735700001)】；

基金：This work was supported by the Training Plan for Young Backbone Teachers in Colleges and Universities of Henan Province under Grant 2021GGJS032. The Associate Editor for this article was W. Wei.

语种：英文

外文关键词：Costs; Carbon dioxide; Transportation; Logistics; Fuels; Optimization; Batteries; Traffic restrictions; heterogeneous fleets; GVRP; IACO

摘要：Suffering from environmental distress like carbon emissions, traffic restrictions have been enforced extensively in distribution logistics. Reasonable arrangement of urban freight transportation can effectively improve distribution efficiency, reduce distribution costs, and alleviate the impact of traffic restrictions in distribution logistics. In response to increasingly stringent traffic restrictions, we establish a multi-objective optimization model, including the minimum distributions and the minimum carbon emissions. Given that the limits of battery capacity and cargo capacity, we build a green vehicle routing problem with soft time windows (GVRPTW) model with heterogenous fleets. In this study, three different factors, that is restricted area, travel time of vehicles, and carbon tax prices, are discussed in details. In order to solve the NP-hard model, we propose an improved ant colony optimization algorithm (IACO) by optimizing the state transition probability, and verifies the worth of the algorithm. The experimental results can explore the impacts of traffic restriction policies on the formulation of distribution scheme and offer reference opinions for the government to formulate reasonable restriction policies and better guide logistics enterprises to reduce carbon emissions.