Optimization for container truck routing in container terminal with multi quay cranes considering emissions policy

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.

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Publication Details

Journal
Scientific Reports
Published
2024-10-14
DOI
https://doi.org/10.1038/s41598-024-75661-1
Citations
5
Primary Topic
Maritime Ports and Logistics
Type
article
Field-Weighted Citation Impact
1.74
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article

Optimization for container truck routing in container terminal with multi quay cranes considering emissions policy

Jingyao Song, Changyan Xu
5 citations
Scientific Reports
Maritime Ports and Logistics
1.74
article

Optimization for container truck routing in container terminal with multi quay cranes considering emissions policy

Jingyao Song, Changyan Xu
article en
5 citations

Abstract

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.

Scientific ReportsVol. 14(1)
Shanghai Maritime University (CN)
Climate action
Openalex Percentile: Top 14%
Maritime Ports and Logistics
1.74
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