Applications of machine learning methods in port operations–A systematic literature review

S Filom, AM Amiri, S Razavi - Transportation Research Part E: Logistics and …, 2022 - Elsevier
Ports are pivotal nodes in supply chain and transportation networks, in which most of the
existing data remain underutilized. Machine learning methods are versatile tools to utilize …

Port congestion under the COVID-19 pandemic: The simulation-based countermeasures

J Liu, X Wang, J Chen - Computers & Industrial Engineering, 2023 - Elsevier
As the hub connecting global production and consumption, ports play a pivotal role in the
global maritime supply chain system. The outbreak of the COVID-19 pandemic and its rapid …

[HTML][HTML] Quantitative analysis of the impact of COVID-19 on ship visiting behaviors to ports-A framework and a case study

X Wang, Z Liu, R Yan, H Wang, M Zhang - Ocean & coastal management, 2022 - Elsevier
Abstract Corona Virus Disease 2019 (COVID-19) outbreak leads to a significant downturn in
the global economy and supply chain. In the maritime sector, trade volume slumped by 3.8 …

[HTML][HTML] AI-powered intelligent seaport mobility: enhancing container drayage efficiency through computer vision and deep learning

H Lee, I Chatterjee, G Cho - Applied Sciences, 2023 - mdpi.com
The rapid urbanization phenomenon has introduced multifaceted challenges across various
domains, including housing, transportation, education, health, and the economy. This …

Quay crane and yard truck dual-cycle scheduling with mixed storage strategy

S Zhu, Z Tan, Z Yang, L Cai - Advanced Engineering Informatics, 2022 - Elsevier
In order to enhance the efficiency of port operations, the scheduling problem of the quay
cranes and yard trucks is crucial. Conventional port operation mode lacks optimization …

Local container drayage problem with improved truck platooning operations

X Yan, M Xu, C Xie - Transportation Research Part E: Logistics and …, 2023 - Elsevier
Truck platooning has been identified as a promising technology to save labor force for the
local container drayage problem (LCDP). However, existing studies for the platoon-based …

Improving resilience in an intermodal transport network via bulk cargo transport coordination and empty container repositioning

X Feng, Z Wang, Y Wang, W Yin, Y Chao… - Ocean & Coastal …, 2024 - Elsevier
Commodities are usually transported in bulk and are associated with the risk of
environmental pollution and cargo loss during intermodal transportation. This study …

Dynamic container drayage booking and routing decision support approach for E-commerce platforms

R Chen, S Jia, Q Meng - Transportation Research Part E: Logistics and …, 2023 - Elsevier
E-commerce drayage platforms are relatively new to the container drayage industry. Their
revenue management poses an enormous logistical challenge owing to the unpredictable …

Inter-terminal transportation for an offshore port integrating an inland container depot

P Cao, Y Zheng, KF Yuen, Y Ji - Transportation Research Part E: Logistics …, 2023 - Elsevier
Offshore ports, which are located on islands or away from the hinterland, are usually
connected with the hinterland via bridges for truck transportation. With the rapid growth of …

[HTML][HTML] Analysis of the barriers to multimodal freight transport and their mitigation strategies

A Karam, AJK Jensen, M Hussein - European Transport Research Review, 2023 - Springer
Abstract Multimodal Freight Transport (MFT) has been introduced as a solution for reducing
the external costs of freight transport while achieving cost improvements. Despite the MFT …