Jun Feng, Toyohide Watanabe's Index and Query Methods in Road Networks PDF

By Jun Feng, Toyohide Watanabe

ISBN-10: 3319107887

ISBN-13: 9783319107882

ISBN-10: 3319107895

ISBN-13: 9783319107899

This booklet provides the index and question suggestions on street community and relocating gadgets that are constrained to street community. the following, the line community of non-Euclidean area has its targeted features such that relocating gadgets can be quite shut in a immediately line distance. The index utilized in two-dimensional Euclidean area isn't consistently acceptable for relocating gadgets on street community. hence, the index constitution has to be enhanced in an effort to receive appropriate indexing equipment, discover the shortest direction and procure nearest neighbor question and aggregation question equipment lower than the recent index structures.

Chapter 1 of this booklet introduces the current state of affairs of clever site visitors and index in street community, bankruptcy 2 introduces the appropriate latest spatial indexing equipment. bankruptcy 3-5 specialise in a number of problems with highway community and question, they comprises: site visitors highway community versions (see bankruptcy 3), index constructions (see bankruptcy four) and combination question equipment (see bankruptcy 5). ultimately, in bankruptcy 6, the e-book in brief describes the purposes and the advance of clever transportation within the future.

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Example text

1 Map Information Model 51 Theme(i) Theme(j) Upper Level Level(k) A c b C Level(k+1) Lower Level a B Inheritance A C a B c b Overlay aA c C b B Fig. 9 Aspect on Multi-scales/Multi-themes for point and line objects The model is powerful to integrate various scales of maps uniformly. However, it is necessary to aggregate and arrange different scales of data derived from different levels adaptively and then propagate the information from upper levels to lower level. For the purpose of propagating the objects in upper levels to the lower level, inheritance functions are developed.

A Directory of an R -tree. b Structure of a R -tree The performance of R-trees depends on the quality of the algorithm that clusters the data rectangles on a node. Hilbert R-trees use space-filling curves, specifically the Hilbert curves, to impose a linear ordering on the data rectangles. There are two types of Hilbert R-trees: one for static databases, and the other one for dynamic databases. In both cases Hilbert space-filling curves are used to achieve better ordering of multidimensional objects in the node.

In Ichinomiya … … Fig. 7 Example of directory tree and theme trees f works on two sections inside a theme tree and generates a set of spatial entities of εi j , which is a union of spatial entities in εi and ε j based on predefined relations. All the spatial entities of εi j are represented in Region(ε j ) and at the same scale of Level(ε j ). There are two kinds of relations defined on the spatial entity subsets of sections which belong to different levels: (1) Supplement: the spatial entity subset of lower level is a supplement of the subset of upper level.

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Index and Query Methods in Road Networks by Jun Feng, Toyohide Watanabe


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