國立虎尾科技大學 |

Index and Query Methods in Road Networks

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Index and Query Methods in Road Networks/ by Jun Feng, Toyohide Watanabe.
作者:	Feng, Jun.
其他作者:	Watanabe, Toyohide.
面頁冊數:	XI, 161 p. 80 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-10789-9
ISBN:	9783319107899

Index and Query Methods in Road Networks
Feng, Jun.

Index and Query Methods in Road Networks[electronic resource] /by Jun Feng, Toyohide Watanabe. - 1st ed. 2015. - XI, 161 p. 80 illus.online resource. - Smart Innovation, Systems and Technologies,292190-3018 ;. - Smart Innovation, Systems and Technologies,37.

Introduction -- Index Techniques -- Road Network Model -- Index in Road Network -- Query in Road Network -- The Trend of Development.

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.

ISBN: 9783319107899

Standard No.: 10.1007/978-3-319-10789-9doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Index and Query Methods in Road Networks
LDR:02627nam a22004095i 4500 001 966387
003 DE-He213
005 20200706091132.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783319107899 $9 978-3-319-10789-9
024 7 $a 10.1007/978-3-319-10789-9 $2 doi
035 $a 978-3-319-10789-9
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Feng, Jun. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1062773
245 1 0 $a Index and Query Methods in Road Networks $h [electronic resource] / $c by Jun Feng, Toyohide Watanabe.
250 $a 1st ed. 2015.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a XI, 161 p. 80 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Smart Innovation, Systems and Technologies, $x 2190-3018 ; $v 29
505 0 $a Introduction -- Index Techniques -- Road Network Model -- Index in Road Network -- Query in Road Network -- The Trend of Development.
520 $a 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.
650 0 $a Computational intelligence. $3 568984
650 0 $a Engineering economics. $3 1253802
650 0 $a Engineering economy. $3 632434
650 0 $a Automotive engineering. $3 1104081
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Engineering Economics, Organization, Logistics, Marketing. $3 669171
650 2 4 $a Automotive Engineering. $3 683772
700 1 $a Watanabe, Toyohide. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 885523
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319107905
776 0 8 $i Printed edition: $z 9783319107882
776 0 8 $i Printed edition: $z 9783319347042
830 0 $a Smart Innovation, Systems and Technologies, $x 2190-3018 ; $v 37 $3 1255196
856 4 0 $u https://doi.org/10.1007/978-3-319-10789-9
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)