Presentation 2013-12-04
Maps2Graphs : A Socially Scalable Method for Generating High-Quality GIS Datasets Based on Google Maps API
Marat ZHANIKEEV,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) GIS - where Esri is probably the most prominent data provider - is related to ITS by way of providing ITS research with road maps. Traditionally, GIS data come as .shp files in 2d- or 3dmesh format. The sad news is that (1) even 3dmesh is low resolution, and (2) native GIS roads maps have no context. This study presents a web application which extracts pairwise routes via Google Maps API and stores them in cloud storage (Google Drive, Dropbox, etc.). When done, pairwise routes are merged into the graph ready to use for ITS simulations. The webapp is socially scalable and can use any number of clients, which is important for large datasets.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) maps2graphs / contextual graphs / GIS datasets / ITS simulation / trace-based simulation / social collaboration / cloud applications
Paper # ITS2013-29
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Committee ITS
Conference Date 2013/11/26(1days)
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Registration To Intelligent Transport Systems Technology (ITS)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Maps2Graphs : A Socially Scalable Method for Generating High-Quality GIS Datasets Based on Google Maps API
Sub Title (in English)
Keyword(1) maps2graphs
Keyword(2) contextual graphs
Keyword(3) GIS datasets
Keyword(4) ITS simulation
Keyword(5) trace-based simulation
Keyword(6) social collaboration
Keyword(7) cloud applications
1st Author's Name Marat ZHANIKEEV
1st Author's Affiliation Computer Science and Systems Engineering Kyushu Institute of Technology()
Date 2013-12-04
Paper # ITS2013-29
Volume (vol) vol.113
Number (no) 337
Page pp.pp.-
#Pages 4
Date of Issue