Song Jingyao, Xu Changyan
College of Foreign Languages, Shanghai Maritime University, Shanghai, China.
School of Economics and Management, Shanghai Maritime University, Shanghai, China.
Sci Rep. 2024 Oct 14;14(1):24000. doi: 10.1038/s41598-024-75661-1.
In container terminal, the container trucks should go by a "quay crane - container trucks -import and export block" routing, and the optimization of this routing has become the focus of this paper. This study divided the problem of routing optimization into two levels: one is a routing optimization model of single container truck which takes the lowest total cost as the target, without considering the distribution of overall transportation task; the other is a routing optimization model concerning the allocation of no-load trucks, aiming at the lowest cost of transportation task. We designed an improved Particle Swarm Optimization (PSO) algorithm to solve the two-level optimization model, and the influence of emission policy on the two-level optimization model and the influence of the number of container trucks on the transportation distance of level II in optimization model are analyzed. The results show that the increase of carbon tax will lead to the decrease of emissions in level I, but has no effect on the emissions in level II. The increase in the number of container trucks will lead to a reduction of the no-load transportation distance in level II.
在集装箱码头,集装箱卡车应按照“岸桥-集装箱卡车-进出口区”的路线行驶,而这条路线的优化已成为本文的重点。本研究将路线优化问题分为两个层次:一是以总成本最低为目标的单辆集装箱卡车路线优化模型,不考虑整体运输任务的分配;另一个是关于空载卡车分配的路线优化模型,目标是使运输任务成本最低。我们设计了一种改进的粒子群优化(PSO)算法来求解两级优化模型,并分析了排放政策对两级优化模型的影响以及集装箱卡车数量对优化模型中二级运输距离的影响。结果表明,碳税的增加将导致一级排放的减少,但对二级排放没有影响。集装箱卡车数量的增加将导致二级空载运输距离的减少。