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Dale Dzemydiene,Aurelija Burinskiene,Kristina Ciziuniene,Arunas Miliauskas

Development of Smart Context-Aware Services for Cargo Transportation: An Operational Management Approach

Development of Smart Context-Aware Services for Cargo Transportation: An Operational Management Approach

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  • More about Development of Smart Context-Aware Services for Cargo Transportation: An Operational Management Approach

This book discusses the development of approaches to secure an infrastructure of smart services to support the adaptive implementation of online multi-modal freight transport management processes. It focuses on cargo transportation and discusses the development of multi-criteria decision-making components and their integration into intelligent systems. It also describes how to develop the services needed in the right place and at the right time and how to increase the autonomy and efficiency of user-vehicle interaction.

Format: Hardback
Length: 418 pages
Publication date: 03 September 2022
Publisher: Springer International Publishing AG


This comprehensive book delves into the realm of cargo transportation, with a primary emphasis on developing strategies to establish a robust infrastructure of smart services that facilitate the seamless integration of online multi-modal freight transport management processes. It explores the creation of multi-criteria decision-making components and their seamless integration into the intricate computer-based information management systems of intelligent systems.

By providing detailed accounts of various components of intelligent transport management systems, the book showcases how to deliver the required services precisely when and where they are needed, while also adapting seamlessly to user requirements. It further elucidates the essential steps to enhance user-vehicle interaction's autonomy and efficiency, while also shedding light on the role of Information and Communications Technology (ICT) in providing structural support for both current and historical scenarios within AI-based systems. This insightful exploration enables the anticipation of future developments in freight transportation.

Weight: 822g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031071980
Edition number: 1st ed. 2022

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