Development of Smart Context-Aware Services for Cargo Transportation

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.

Introduces detailed components of intelligent transport management systems Presents main methods for increasing the autonomy and efficiency of user-vehicle interaction Contains numerous step-by-step descriptions of context-aware services

Autorentext

Dal Dzemydien is a Leading Professor and Chief Research Fellow at the Department of Business Technologies and Entrepreneurship, Business Management Faculty of Vilnius Gediminas Technical University, Lithuania and a Senior Researcher and Professor at the Institute of Data Science and Digital Technologies, Mathematics and Informatics Faculty of Vilnius University, Lithuania. She has published more than three hundred research articles, three manuals and two monographs. In addition to organizing international conferences in the area of information systems and databases (Baltic DB and IS), she is a Member of the Board of the Lithuanian Computer Society (LIKS) and Lithuanian Operational Research Society (LITORS) and a Head of the Legal Informatics Section of LIKS. Her research interests include artificial intelligence methods, decision support systems, evaluation of sustainable development processes, and systems of smart services.

Aurelija Burinskien is a Chief Researcher at the Institute of Dynamic Management and an Associate Professor at the Department of Business Technology and Entrepreneurship of Business Management Faculty of Vilnius Gediminas Technical University, Lithuania. She has 12 years of experience as a logistics project manager and 10 years of experience as a lecturer on logistics, warehouse and inventory management, e-logistics, and logistics process optimization systems. She is the manager of the scientific project "Smart context-aware services for operational freight transport management" (2020-2023), and has participated in the DIGINNO digitization of land freight transport. She has published over 70 articles in scientific journals and books and is an editorial board member of the Logistics Scientific Conference.

Kristina ii nien is an Associate Professor at the Department of Logistics and Transport Management, Transport Engineering Faculty, Vilnius Gediminas Technical University, Lithuania. In 2019, she orchestrated a major outsourced project at Lithuanian Railways. In addition to managing the project "ATVERK" organized by LINPRA, the Lithuanian Engineering Industry Association, she has authored or co-authored more than 80 scientific publications, including several monographs and handbooks.

Ar nas Miliauskas is a Specialist Engineer at the Department of Business Technology and Entrepreneurship, Business Management Faculty, Vilnius Gediminas Technical University, Lithuania and at the Institute of Data Science and Digital Technologies, Mathematics and Informatics Faculty, Vilnius University, Lithuania. The author of 15 scientific articles, his research interests include artificial intelligence methods and smart service development platforms

Inhalt

1. Introduction to Research Area.- 2. Structure of Context Recognition in Computer-Based Systems for Transportation Management.- 3. Wireless Communication Network Infrastructure Analysis for Smart Service System Functioning.- 4. Structure of Smart Service Provision System for Operative Management of Transportation.- 5. Towards the Transport and Corresponding Sectors.- 6. Variables Important for Freight Delivery and Context Data Usage.- 7. Automated Freight Brokerage Based on Multi-Agent Semantic Web Service Composition.- 8. Transport Network Design Methods and Context-Aware Service Specifics.- 9. Context-Aware Service Support Efficiency Improvement in the Transport System.- 10. Cargo Delivery Management Process: Risks, Solutions, and Optimization.- 11. Cargo Delivery Management Process: Risks, Solutions, and Optimization.- 12. The Concept Towards Transportation Infrastructure and Its Capacity.- 13. Information Systems in Freight Transportation.- 14. Information Technology Used in the Road Transport Sector.- 15. Information Technology Used in the Railway Transport Sector.- 16. Information Technology Used in the Water Transport Sector.- 17. Information Systems in Transport and Forwarding Activities.- 18. Information Technology Used in Intermodal and Multimodal Transport.- 19. Development of Intelligent Service System for Multimodal Transport Management.