With a focus on cargo transportation, this book addresses the development of approaches intended to secure an infrastructure of smart services to support the adaptive implementation of online multi-modal freight transport management processes. It discusses the development of multi-criteria decision-making components and their integration into the multi-layered computer-based information management of intelligent systems. Through detailed descriptions of various components of intelligent transport management systems, the book demonstrates how to develop the services needed in the right place and at the right time, and how to properly adapt to user needs, making necessary interventions to ensure the safety of the transportation process. Further, it describes the main ways to increase the autonomy and efficiency of user-vehicle interaction and shows how Information and Communications Technology (ICT) structural support for current and past situations in AI-based systems can help to anticipate future developments in freight transportation.

This book explains global trends and strategies in the shipping business, looking at the role of logistics service providers and at how information technology can help shipping operations. It also introduces best practices and advice that will allow professionals to improve the management of shipping and logistics activities. The book consists of sections examining shipping and trade, business strategies for shipping, intermodal container transport operations, and ports. This new edition adds a new fifth section with four new chapters that discusses contemporary issues in shipping. The new chapters are related to risk management in shipping, shipping security and safety, environmental and social sustainability, and a review of new technologies in the shipping industry and their future potential. An invaluable source of information for researchers and advanced, or graduate, students, Shipping and Logistics Management is also a useful reference for shipping practitioners and consultants.

This book contains 16 chapters by researchers working in various fields of data science. They focus on theory and applications in language technologies, optimization, computational thinking, intelligent decision support systems, decomposition of signals, model-driven development methodologies, interoperability of enterprise applications, anomaly detection in financial markets, 3D virtual reality, monitoring of environmental data, convolutional neural networks, knowledge storage, data stream classification, and security in social networking. The respective papers highlight a wealth of issues in, and applications of, data science. Modern technologies allow us to store and transfer large amounts of data quickly. They can be very diverse - images, numbers, streaming, related to human behavior and physiological parameters, etc. Whether the data is just raw numbers, crude images, or will help solve current problems and predict future developments, depends on whether we can effectively process and analyze it. Data science is evolving rapidly. However, it is still a very young field. In particular, data science is concerned with visualizations, statistics, pattern recognition, neurocomputing, image analysis, machine learning, artificial intelligence, databases and data processing, data mining, big data analytics, and knowledge discovery in databases. It also has many interfaces with optimization, block chaining, cyber-social and cyber-physical systems, Internet of Things (IoT), social computing, high-performance computing, in-memory key-value stores, cloud computing, social computing, data feeds, overlay networks, cognitive computing, crowdsource analysis, log analysis, container-based virtualization, and lifetime value modeling. Again, all of these areas are highly interrelated. In addition, data science is now expanding to new fields of application: chemical engineering, biotechnology, building energy management, materials microscopy, geographic research, learning analytics, radiology, metal design, ecosystem homeostasis investigation, and many others.

This policy-oriented jurisprudence presents the latest research findings on legal challenges faced by the international regulatory framework, as posed by the increasing deployment of uncrewed vessels at sea. It is the first publication that offers discussions and opinions reflecting a combined international and comparative (especially, eastern) perspective. The contributors from multiple jurisdictions elaborate on legal implications of the use of uncrewed vessels for military, commercial, scientific-research, and law-enforcement purposes from such diverse angles as the law of the sea, international humanitarian law, the law of war, global shipping regulation, marine environment protection, cybersecurity, and artificial intelligence and law.

Logistics Transportation Systems compiles multiple topics on transportation logistics systems from both qualitative and quantitative perspectives, providing detailed examples of real-world logistics workflows. It explores the key concepts and problem-solving techniques required by researchers and logistics professionals to effectively manage the continued expansion of logistics transportation systems, which is expected to reach an estimated 25 billion tons in the United States alone by 2045. This book provides an ample understanding of logistics transportation systems, including basic concepts, in-depth modeling analysis, and network analysis for researchers and practitioners. In addition, it covers policy issues related to transportation logistics, such as security, rules and regulations, and emerging issues including reshoring. This book is an ideal guide for academic researchers and both undergraduate and graduate students in transportation modeling, supply chains, planning, and systems. It is also useful to transportation practitioners involved in planning, feasibility studies, consultation and policy for transportation systems, logistics, and infrastructure. - Provides real-world examples of logistics systems solutions for multiple transportation modes, including seaports, rail, barge, road, pipelines, and airports - Covers a wide range of business aspects, including customer service, cost, and decision analysis - Features key-term definitions, concept overviews, discussions, and analytical problem-solving

In today’s changing business environment, managers and employees need essential capabilities such as innovativeness to successfully reach organizational goals. In this digitalized era, it is obvious that undigitized firms and organizations will not survive changing demands unless they can quickly adapt and form new business strategies. The upcoming era necessitates a digital transformation in all institutions from government to the non-profit sector. In such a change-oriented and complex business era, both entrepreneurs and leaders must keep up with the latest developments around them. Management Strategies for Sustainability, New Knowledge Innovation, and Personalized Products and Services discusses the emerging topics of digital transformation, new knowledge innovation, sustainability, and personalized products and services and provides a theoretical infrastructure to share the latest empirical research findings within management, knowledge creation, sustainability practices, artificial intelligence, and digital business functions and strategies. Covering a wide range of topics such as Industry 4.0 and user satisfaction, it is ideal for industry professionals, practitioners, consultants, educators, scholars, researchers, academicians, and students.

The ITF Transport Outlook provides an overview of recent trends and near-term prospects for the transport sector at a global level, as well as long-term prospects for transport demand to 2050, for freight (maritime, air and surface), passenger transport (car, rail and air) and CO2 emissions.