Optimal location query on road networks

This report is based on the research paper Optimal Location Queries in Road Network Databases. Optimal Location Queries are useful for strategic planning of resources in spatial databases. For example, in a given road network which consist of vertices which are either part of the road network, an ex...

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Main Author: Mohamad Ridzuan Yusop
Other Authors: Xiaokui Xiao
Format: Final Year Project
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/62686
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-626862023-03-03T20:54:07Z Optimal location query on road networks Mohamad Ridzuan Yusop Xiaokui Xiao School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Software::Software engineering This report is based on the research paper Optimal Location Queries in Road Network Databases. Optimal Location Queries are useful for strategic planning of resources in spatial databases. For example, in a given road network which consist of vertices which are either part of the road network, an existing client or facility, a query can ask for a location to build a new facility that optimises a certain cost metric. 3 variants of OL queries together with several query-processing algorithms will be discussed in this report, which are Competitive, Min-Sum and Min-Max location queries. Competitive Location Query ask for a location which maximise the total weights of clients attracted, Min Sum ask for a location which minimise the total weighted attractor distance and Min Max ask for a location which minimise the maximum weighted attractor distance. The aim of this project is to implement and evaluate the efficiency of the queries in terms of runtime and memory consumption. The location queries will be evaluated using different parameters and edge traversing methods. Bachelor of Engineering (Computer Science) 2015-04-27T05:01:32Z 2015-04-27T05:01:32Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/62686 en Nanyang Technological University 35 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Software::Software engineering
spellingShingle DRNTU::Engineering::Computer science and engineering::Software::Software engineering
Mohamad Ridzuan Yusop
Optimal location query on road networks
description This report is based on the research paper Optimal Location Queries in Road Network Databases. Optimal Location Queries are useful for strategic planning of resources in spatial databases. For example, in a given road network which consist of vertices which are either part of the road network, an existing client or facility, a query can ask for a location to build a new facility that optimises a certain cost metric. 3 variants of OL queries together with several query-processing algorithms will be discussed in this report, which are Competitive, Min-Sum and Min-Max location queries. Competitive Location Query ask for a location which maximise the total weights of clients attracted, Min Sum ask for a location which minimise the total weighted attractor distance and Min Max ask for a location which minimise the maximum weighted attractor distance. The aim of this project is to implement and evaluate the efficiency of the queries in terms of runtime and memory consumption. The location queries will be evaluated using different parameters and edge traversing methods.
author2 Xiaokui Xiao
author_facet Xiaokui Xiao
Mohamad Ridzuan Yusop
format Final Year Project
author Mohamad Ridzuan Yusop
author_sort Mohamad Ridzuan Yusop
title Optimal location query on road networks
title_short Optimal location query on road networks
title_full Optimal location query on road networks
title_fullStr Optimal location query on road networks
title_full_unstemmed Optimal location query on road networks
title_sort optimal location query on road networks
publishDate 2015
url http://hdl.handle.net/10356/62686
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