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Development of smart context-aware services for cargo transportationan operational management approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Development of smart context-aware services for cargo transportationby Dale Dzemydiene ... [et al.].
Reminder of title:	an operational management approach /
other author:	Dzemydiene, Dale.
Published:	Cham :Springer International Publishing :2022.
Description:	xix, 418 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Freight and freightageManagement.
Online resource:	https://doi.org/10.1007/978-3-031-07199-7
ISBN:	9783031071997$q(electronic bk.)

Development of smart context-aware services for cargo transportationan operational management approach /
Development of smart context-aware services for cargo transportationan operational management approach /[electronic resource] :by Dale Dzemydiene ... [et al.]. - Cham :Springer International Publishing :2022. - xix, 418 p. :ill., digital ;24 cm. - International series in operations research & management science,v. 3302214-7934 ;. - International series in operations research & management science ;v. 140..

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.

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.

ISBN: 9783031071997$q(electronic bk.)

Standard No.: 10.1007/978-3-031-07199-7doiSubjects--Topical Terms:

209683
Freight and freightage
--Management.

LC Class. No.: TA1210

Dewey Class. No.: 388.0440285

Development of smart context-aware services for cargo transportationan operational management approach /
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505 0 $a 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.
520 $a 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.
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