Applications of machine learning methods in port operations–A systematic literature review
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 …
existing data remain underutilized. Machine learning methods are versatile tools to utilize …
[HTML][HTML] Container port truck dispatching optimization using Real2Sim based deep reinforcement learning
In marine container terminals, truck dispatching optimization is often considered as the
primary focus as it provides crucial synergy between the sea-side operations and yard-side …
primary focus as it provides crucial synergy between the sea-side operations and yard-side …
A Reinforcement Learning approach for bus network design and frequency setting optimisation
This paper proposes a new approach to solve the problem of bus network design and
frequency setting (BNDFS). Transit network design must satisfy the needs of both service …
frequency setting (BNDFS). Transit network design must satisfy the needs of both service …
The impacts of the applications of artificial intelligence in maritime logistics
BL Aylak - Avrupa Bilim ve Teknoloji Dergisi, 2022 - dergipark.org.tr
This study aims to identify current approaches in the usage of Artificial Intelligence (AI)
methods for solving shipping problems. Recent advances in AI are being examined, and the …
methods for solving shipping problems. Recent advances in AI are being examined, and the …
Inter-terminal transportation for an offshore port integrating an inland container depot
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 …
connected with the hinterland via bridges for truck transportation. With the rapid growth of …
Designing a survey framework to collect port stakeholders' insight regarding AI implementation: results from the Flemish context
Today, several research/initiatives exist in AI technology at the port operation. They mainly
focus on solution development in a particular port and shipping industry domain. This …
focus on solution development in a particular port and shipping industry domain. This …
Interterminal truck routing optimization using cooperative multiagent deep reinforcement learning
Many ports worldwide continue to expand their capacity by developing a multiterminal
system to catch up with the global containerized trade demand. However, this expansion …
system to catch up with the global containerized trade demand. However, this expansion …
Contemporary challenges and AI solutions in port operations: applying Gale–Shapley algorithm to find best matches
Artificial intelligence (AI) developments enable human capability to deliver the same
outcome at a lower cost. This research performs a high-level matching between AI solutions …
outcome at a lower cost. This research performs a high-level matching between AI solutions …
Artificial intelligence and machine learning applications in freight transport
Freight transport refers to the process and activities involved in the moving of goods by air,
sea, road, rail, and inland waterways (ITF 2021). Due to globalisation and an increasing …
sea, road, rail, and inland waterways (ITF 2021). Due to globalisation and an increasing …
A multi-agent reinforcement learning approach for ART adaptive control in automated container terminals
Y Zhang, C Yang, C Zhang, K Tang, W Zhou… - Computers & Industrial …, 2024 - Elsevier
Intelligent transportation equipment represented by Artificial Intelligence Robot of
Transportation (ART) has been gradually applied to automated container terminals (ACT) …
Transportation (ART) has been gradually applied to automated container terminals (ACT) …