Overview
- Focuses on the latest developments in information technology (IT) methodologies for maritime transportation
- Features seven chapters describing essential modeling tools, methodologies, algorithms, and systems
- Presents a simulation model building process that offers a useful guide for model builders in the maritime transportation domain
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 131)
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Table of contents (7 chapters)
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Front Matter
Keywords
About this book
This book is one of very few in the maritime literature that solely focus on the latest developments in information technology (IT) methodologies in this field. It provides the reader with a concise overview of how IT can truly improve the efficacy of operations in the maritime industry. It consists of seven chapters that address a range of topics related to the synergy between Computer Science and Maritime Science. Specifically, Chapters 1 and 2 explore two important problems in maritime logistics pertaining to quayside operational planning, while Chapters 3 and 4 focus on maritime routing methodologies. Chapters 5 and 6 present decision-making support systems for safe shipping and port security. Last, Chapter 7 presents simulation methodologies for modeling maritime traffic.
The intended readership of the book spans both an academic audience and professionals in the areas of Operational Research, Transportation Science, and Maritime Science interested in applying ITmethodologies in their areas of expertise.
Editors and Affiliations
Bibliographic Information
Book Title: Modeling, Computing and Data Handling Methodologies for Maritime Transportation
Editors: Charalampos Konstantopoulos, Grammati Pantziou
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-61801-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-61800-5Published: 12 September 2017
Softcover ISBN: 978-3-319-87166-0Published: 18 May 2018
eBook ISBN: 978-3-319-61801-2Published: 04 September 2017
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XXIII, 206
Number of Illustrations: 10 b/w illustrations, 53 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Transportation Technology and Traffic Engineering