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In the first part of the book, the authors describe algorithmic development issues in spatio-temporal graph data. These algorithms internally use the semantically rich data structures developed in the earlier part of this book. Finally, the authors introduce some upcoming spatio-temporal graph datasets, such as engine measurement data, and discuss some open research problems in the area.
This book will be useful as a secondary text for advanced-level students entering into relevant fields of computer science, such as transportation and urban planning. It may also be useful for researchers and practitioners in the field of navigational algorithms.
In the first part of the book, the authors describe algorithmic development issues in spatio-temporal graph data. These algorithms internally use the semantically rich data structures developed in the earlier part of this book. Finally, the authors introduce some upcoming spatio-temporal graph datasets, such as engine measurement data, and discuss some open research problems in the area.
This book will be useful as a secondary text for advanced-level students entering into relevant fields of computer science, such as transportation and urban planning. It may also be useful for researchers and practitioners in the field of navigational algorithms.
Describes a unique overarching model which can support a wide variety of spatio-temporal graph data
Covers A* and bi-directional search for determining fastest paths over spatio-temporal graphs
Introduces spatio-temporal graph datasets, such as engine measurement data
Applications from the research covered in this book (navigational algorithms), can be used for Uber service and Google's autonomous cars
| Erscheinungsjahr: | 2019 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 112 |
| Inhalt: |
x
100 S. 31 s/w Illustr. 30 farbige Illustr. 100 p. 61 illus. 30 illus. in color. |
| ISBN-13: | 9783319884868 |
| ISBN-10: | 3319884867 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Shekhar, Shashi
Gunturi, Venkata M. V. |
| Auflage: | Softcover reprint of the original 1st ed. 2017 |
| Hersteller: | Springer International Publishing |
| Maße: | 235 x 155 x 7 mm |
| Von/Mit: | Shashi Shekhar (u. a.) |
| Erscheinungsdatum: | 04.06.2019 |
| Gewicht: | 0,184 kg |
Describes a unique overarching model which can support a wide variety of spatio-temporal graph data
Covers A* and bi-directional search for determining fastest paths over spatio-temporal graphs
Introduces spatio-temporal graph datasets, such as engine measurement data
Applications from the research covered in this book (navigational algorithms), can be used for Uber service and Google's autonomous cars
| Erscheinungsjahr: | 2019 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 112 |
| Inhalt: |
x
100 S. 31 s/w Illustr. 30 farbige Illustr. 100 p. 61 illus. 30 illus. in color. |
| ISBN-13: | 9783319884868 |
| ISBN-10: | 3319884867 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Shekhar, Shashi
Gunturi, Venkata M. V. |
| Auflage: | Softcover reprint of the original 1st ed. 2017 |
| Hersteller: | Springer International Publishing |
| Maße: | 235 x 155 x 7 mm |
| Von/Mit: | Shashi Shekhar (u. a.) |
| Erscheinungsdatum: | 04.06.2019 |
| Gewicht: | 0,184 kg |
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