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Titolo: | Modeling, Computing and Data Handling Methodologies for Maritime Transportation / / edited by Charalampos Konstantopoulos, Grammati Pantziou |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Edizione: | 1st ed. 2018. |
Descrizione fisica: | 1 online resource (XXIII, 206 p. 63 illus., 53 illus. in color.) |
Disciplina: | 006.3 |
Soggetto topico: | Computational intelligence |
Artificial intelligence | |
Transportation engineering | |
Traffic engineering | |
Computational Intelligence | |
Artificial Intelligence | |
Transportation Technology and Traffic Engineering | |
Persona (resp. second.): | KonstantopoulosCharalampos |
PantziouGrammati | |
Nota di bibliografia: | Includes bibliographical references. |
Sommario/riassunto: | 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 IT methodologies in their areas of expertise. |
Titolo autorizzato: | Modeling, Computing and Data Handling Methodologies for Maritime Transportation |
ISBN: | 3-319-61801-6 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910299893303321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |