Spatio-temporal networks modeling and algorithms /

"'Spatio-temporal networks' (STN)are spatial networks whose topology and/or attributes change with time. These are encountered in many critical areas of everyday life such as transportation networks, electric power distribution grids, and social networks of mobile users. STN modeling...

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Main Author: George, Betsy.
Other Authors: Kim, Sangho., SpringerLink (Online service)
Format: eBook
Language: English
Published: New York : Springer, ©2013.
New York : [2013]
Physical Description: 1 online resource (73 pages).
Series: SpringerBriefs in computer science.
Subjects:
Summary: "'Spatio-temporal networks' (STN)are spatial networks whose topology and/or attributes change with time. These are encountered in many critical areas of everyday life such as transportation networks, electric power distribution grids, and social networks of mobile users. STN modeling and computations raise significant challenges. The model must meet the conflicting requirements of simplicity and adequate support for efficient algorithms. Another challenge is to address the change in the semantics of common graph operations, such as, shortest path computation assuming different semantics, or when temporal dimension is added. Also paradigms (e.g. dynamic programming) used in algorithm design may be ineffective since their assumptions (e.g. stationary ranking of candidates) may be violated by the dynamic nature of STNs. In recent years, STNs have attracted attention in research. New representations have been proposed along with algorithms to perform key STN operations, while accounting for their time dependence. Designing a STN database would require the development of data models, query languages, and indexing methods to efficiently represent, query, store, and manage time-variant properties of the network. The purpose of 'Spatio-temporal Networks: Modeling and Algorithms' is to explore this design at the conceptual, logical, and physical level. Models used to represent STNs are explored and analyzed. STN operations, with an emphasis on their altered semantics with the addition of temporal dimension, are also addressed"--Provided by publisher.
Item Description: Includes bibliographical references.
Spatio-temporal Networks: An Introduction -- Time Aggregated Graph: A Model for Spatio-temporal Networks -- Shortest Path Algorithms for a Fixed Start Time -- Best Start Time Journeys -- Spatio-temporal Network Application.
"'Spatio-temporal networks' (STN)are spatial networks whose topology and/or attributes change with time. These are encountered in many critical areas of everyday life such as transportation networks, electric power distribution grids, and social networks of mobile users. STN modeling and computations raise significant challenges. The model must meet the conflicting requirements of simplicity and adequate support for efficient algorithms. Another challenge is to address the change in the semantics of common graph operations, such as, shortest path computation assuming different semantics, or when temporal dimension is added. Also paradigms (e.g. dynamic programming) used in algorithm design may be ineffective since their assumptions (e.g. stationary ranking of candidates) may be violated by the dynamic nature of STNs. In recent years, STNs have attracted attention in research. New representations have been proposed along with algorithms to perform key STN operations, while accounting for their time dependence. Designing a STN database would require the development of data models, query languages, and indexing methods to efficiently represent, query, store, and manage time-variant properties of the network. The purpose of 'Spatio-temporal Networks: Modeling and Algorithms' is to explore this design at the conceptual, logical, and physical level. Models used to represent STNs are explored and analyzed. STN operations, with an emphasis on their altered semantics with the addition of temporal dimension, are also addressed"--Provided by publisher.
English.
Physical Description: 1 online resource (73 pages).
Bibliography: Includes bibliographical references.
ISBN: 9781461449188
1461449189
ISSN: 2191-5776.