Overview
- Treats the field of road networks and intelligent transportation systems, from background topics, through basic concepts as well as related works
- Presents index technologies in road networks as non-Euclidean space such as MOR-tree, Sketch RR-tree, DynSketch, or Modified Histogram
- Reports recent research on index and search technologies in road networks
Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 29)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book presents the index and query techniques on road network and moving objects which are limited to road network. Here, the road network of non-Euclidean space has its unique characteristics such that two moving objects may be very close in a straight line distance. The index used in two-dimensional Euclidean space is not always appropriate for moving objects on road network. Therefore, the index structure needs to be improved in order to obtain suitable indexing methods, explore the shortest path and acquire nearest neighbor query and aggregation query methods under the new index structures.
Chapter 1 of this book introduces the present situation of intelligent traffic and index in road network, Chapter 2 introduces the relevant existing spatial indexing methods. Chapter 3-5 focus on several issues of road network and query, they involves: traffic road network models (see Chapter 3), index structures (see Chapter 4) and aggregate query methods (see Chapter 5). Finally, in Chapter 6, the book briefly describes the applications and the development of intelligent transportation in the future.Authors and Affiliations
Bibliographic Information
Book Title: Index and Query Methods in Road Networks
Authors: Jun Feng, Toyohide Watanabe
Series Title: Smart Innovation, Systems and Technologies
DOI: https://doi.org/10.1007/978-3-319-10789-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2015
Hardcover ISBN: 978-3-319-10788-2Published: 16 September 2014
Softcover ISBN: 978-3-319-34704-2Published: 10 September 2016
eBook ISBN: 978-3-319-10789-9Published: 02 September 2014
Series ISSN: 2190-3018
Series E-ISSN: 2190-3026
Edition Number: 1
Number of Pages: XI, 161
Number of Illustrations: 80 b/w illustrations
Topics: Computational Intelligence, Engineering Economics, Organization, Logistics, Marketing, Automotive Engineering