Optimal location queries on road networks
Shortest path search are a popular topic due to the increasingly use of navigation products and social networks. A research paper, “Robust Exact Distance Queries on Massive Networks”, aims to provide a new solution for how to achieve shortest path search query quickly. This report looks at how pre-p...
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sg-ntu-dr.10356-630882023-03-03T20:47:42Z Optimal location queries on road networks Lip, Pin Han Xiao Xiao Kui School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity Shortest path search are a popular topic due to the increasingly use of navigation products and social networks. A research paper, “Robust Exact Distance Queries on Massive Networks”, aims to provide a new solution for how to achieve shortest path search query quickly. This report looks at how pre-processing algorithms can help to accelerate the query process and how SamPG algorithm is able to query in large networks and yet minimising the resources required to do so. In addition, we will compare it with similar algorithms previously developed and to determine their performance in pre-processing datasets. Bachelor of Engineering (Computer Science) 2015-05-06T02:29:01Z 2015-05-06T02:29:01Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/63088 en Nanyang Technological University 30 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity Lip, Pin Han Optimal location queries on road networks |
description |
Shortest path search are a popular topic due to the increasingly use of navigation products and social networks. A research paper, “Robust Exact Distance Queries on Massive Networks”, aims to provide a new solution for how to achieve shortest path search query quickly. This report looks at how pre-processing algorithms can help to accelerate the query process and how SamPG algorithm is able to query in large networks and yet minimising the resources required to do so. In addition, we will compare it with similar algorithms previously developed and to determine their performance in pre-processing datasets. |
author2 |
Xiao Xiao Kui |
author_facet |
Xiao Xiao Kui Lip, Pin Han |
format |
Final Year Project |
author |
Lip, Pin Han |
author_sort |
Lip, Pin Han |
title |
Optimal location queries on road networks |
title_short |
Optimal location queries on road networks |
title_full |
Optimal location queries on road networks |
title_fullStr |
Optimal location queries on road networks |
title_full_unstemmed |
Optimal location queries on road networks |
title_sort |
optimal location queries on road networks |
publishDate |
2015 |
url |
http://hdl.handle.net/10356/63088 |
_version_ |
1759854447297560576 |