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This paper provides an overview of the modern technologies used in selected global seaports, and their possible impact on future development of seaports. The research problem stems from inefficience of customs procedures, dispute information flow, unneeded container manipulation in port area, and time lost due to bureucracy procedures. Methods used in this paper are the descriptive method, method of analysis, classification method, and compilation method. Since the majority of leading global seaports are placed in China, the authors decided to analyze the most successful seaport from each country, in order to achieve heterogeneity and global insight into used modern technologies. In total, eleven seaports placed on Lloyd's list Top 100 Ports have been analyzed. Key findings in this paper are: (1) different level of development of a particular country affects different levels of implementation of new technical and technological achievements, resulting in different levels of development of each seaport; (2) future development of modern technologies in seaports leans towards autonomous technologies such as autonomous drones, and self-driving trucks. Modern technologies may improve the safety and efficiency of operations in and outside seaports.

In order to create a supply chain that is both economically and ecologically sustainable and complies
with contemporary standards, the logistics chain must be modernized and should rely on new
technology. In this article, the authors will attempt to elaborate the development direction of delivery
systems through examples of technology-oriented companies such as Amazon, focusing on the use
of unmanned aerial vehicles (drones) for delivering smaller packages within urban and suburban
environments. The main goal of using drones in urban logistics is to reduce the burden on city roads
and the use of road vehicles that generate the highest gaseous emissions footprint. The use of drones
has proven to be extremely flexible and useful in port logistics as well, eliminating the need to send
supply vessels into rough seas or putting people in danger during exhaust emission control. However,
drones are a relatively new technology, and they have their own limitations, which are still being
discovered. The main constraints of the devices themselves are power sources and the power of the
aircraft, which currently and likely in the future won't be able to transport heavier commercial loads.
Increased use leads to congestion in airspace, posing risks to other modes of transportation such as
road or air. Research shows that the current use of drones mainly revolves around test flights or limited
applications within a regulated environment.

As maritime transport produces a large amount of data from various sources and in different formats, authors have analysed current applications of Big Data by researching global applications and experiences and by studying journal and conference articles. Big Data innovations in maritime transport (both cargo and passenger) are demonstrated, mainly in the fields of seaport operations, weather routing, monitoring/tracking and security. After the analysis, the authors have concluded that Big Data analyses can provide deep understanding of causalities and correlations in maritime transport, thus improving decision making. However, there exist major challenges of an efficient data collection and processing in maritime transport, such as technology challenges, challenges due to competitive conditions etc. Finally, the authors provide a future perspective of Big Data usage in maritime transport.

This article presents a comprehensive review of the current and rising trends of blockchain technology usage in shipping industry. The definition and features of blockchain technology are provided, as well as the potential usage of blockchain technology in various areas (financial services, Internet of Things, medicine, government, etc.), in order to better understand its complexity and application. Furthermore, the major challenges of blockchain technology are shown, and the most prominent examples of blockchain applications in shipping industry are provided. The application and advantages of blockchain technology in seaports are demonstrated through several examples.

This paper presents an overview of challenges related to information management in reverse logistics and an overview of selected disruptive technologies (Internet of Things, Blockchain, Cloud computing and Artificial intelligence) that improve information management and information flow in the reverse logistics chain. The theoretical background of reverse logistics and selected disruptive technologies is provided. The goal of this paper is to research how information management in reverse logistics can be improved through the use of disruptive technologies. The research problem results from increased costs and insufficient prediction accuracy in the reverse logistics chain.

In this paper, the authors perform a comprehensive literature review on the use of data obtained from the
Automatic Identification System, with an emphasis on vessel route prediction and seaport operations.
The usage of Automatic Identification System vessel's position data in the vessel route prediction
and seaport operations has been analyzed, to prove that Automatic Identification System data has a
large potential to improve the efficiency of maritime transport. The authors concluded that proper
vessel route prediction and route planning can improve voyage safety and reduce unnecessary costs.
Furthermore, AIS can provide port authorities with early warnings, allowing them to take preemptive
action to avoid possible congestions and unnecessary costs.