Location Selection Query in Google Maps using Voronoi-based Spatial Skyline (VS2) Algorithm

A. Annisa, Leni Angraeni
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引用次数: 0

Abstract

Google Maps is one of the popular location selection systems. One of the popular features of Google Maps is nearby search. For example, someone who wants to find the closest restaurants to his location can use the nearby search feature. This feature only considers one specific location in providing the desired place choice. In a real-world situation, there may be a need to consider more than one location in selecting the desired place. Assume someone would like to choose a hotel close to the conference hall, the museum, beach, and souvenir store. In this situation, nearby search feature in Google Maps may not be able to suggest a list of hotels that are interesting for him based on the distance from each destination places. In this paper, we have successfully developed a web-based application of Google Maps search using Voronoi-based Spatial Skyline (VS2) algorithm to choose some Point Of Interest (POI) from Google Maps as their considered locations to select desired place. We used Google Maps API to provide POI information for our web-based application. The experiment result showed that the execution time increases while the number of considered location increases.
基于voronoi的空间天际线(VS2)算法的谷歌地图位置选择查询
谷歌地图是一种流行的位置选择系统。谷歌地图最受欢迎的功能之一是附近搜索。例如,想要找到离他最近的餐馆的人可以使用附近搜索功能。此功能只考虑一个特定的位置,以提供所需的位置选择。在现实世界中,在选择所需地点时可能需要考虑多个位置。假设有人想选择一个靠近会议厅、博物馆、海滩和纪念品商店的酒店。在这种情况下,谷歌地图的附近搜索功能可能无法根据每个目的地的距离为他提供感兴趣的酒店列表。在本文中,我们成功开发了一个基于web的谷歌地图搜索应用程序,使用基于voronoi的空间天际线(VS2)算法从谷歌地图中选择一些兴趣点(POI)作为他们考虑的位置来选择所需的地方。我们使用Google Maps API为基于web的应用程序提供POI信息。实验结果表明,随着考虑位置数量的增加,执行时间增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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12 weeks
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