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Titlebook: Index and Query Methodsin Road Networks; Jun Feng,Toyohide Watanabe Book 2015 The Editor(s) (if applicable) and The Author(s), under exclu

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发表于 2025-3-21 16:49:01 | 显示全部楼层 |阅读模式
书目名称Index and Query Methodsin Road Networks
编辑Jun Feng,Toyohide Watanabe
视频video
概述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-Eu
丛书名称Smart Innovation, Systems and Technologies
图书封面Titlebook: Index and Query Methodsin Road Networks;  Jun Feng,Toyohide Watanabe Book 2015 The Editor(s) (if applicable) and The Author(s), under exclu
描述.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.
出版日期Book 2015
关键词Aggregation Query; Data Flow Forecast; DynSketch; Intelligent Transportation System; MOR-Tree; Modified H
版次1
doihttps://doi.org/10.1007/978-3-319-10789-9
isbn_softcover978-3-319-34704-2
isbn_ebook978-3-319-10789-9Series ISSN 2190-3018 Series E-ISSN 2190-3026
issn_series 2190-3018
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Index Techniques,The efficiency of data access and storage is a key factor that affects the quality of data service, and it can be significantly improved by effective index mechanism.
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Index and Query Methodsin Road Networks978-3-319-10789-9Series ISSN 2190-3018 Series E-ISSN 2190-3026
发表于 2025-3-22 22:32:05 | 显示全部楼层
https://doi.org/10.1007/978-3-319-10789-9Aggregation Query; Data Flow Forecast; DynSketch; Intelligent Transportation System; MOR-Tree; Modified H
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listic fashion providing transfer of training to the patient has been elusive and likely not obtainable in the near term. Cadavers and animals can be utilized but have a number of limitations as will be discussed. The likely near-term solution will be the use of human tissue realistic physical model
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