利用历史访问模式预测移动用户的未来位置

A. Kumari, Chandan Chhabra, Saurabh Singh
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引用次数: 2

摘要

现代智能手机为我们提供实时位置数据的能力是其最重要的功能之一。能够基于实时位置数据预测一个人未来的位置将是利用该功能的下一步。使用这个功能,结合机器学习,一个人可能的目的地可以以合理的精度预测。人们并不总是在他们每天都会去的地方使用基于地图的导航,比如他们的工作地点或学校,而且在常规路线上可能会有很大的交通流量,但是,如果我们的设备知道我们要去哪里,它可以提前警告我们并帮助我们改变路线。这个功能也可以被警察用来确定逃离犯罪现场的罪犯的未来位置。这些特征和功能可以通过各种机器学习算法来实现,这些算法被比较以确定最准确的一个。该系统可以利用用户当前的位置和时间,从用户以前访问过的位置中学习,预测用户未来的位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Future Location Prediction of a Mobile User Using Historic Visiting Patterns
The ability of modern smartphones to provide us with real time location-based data is one of its most important features. Being able to predict a person’s future location based on the real time location data would be the next step in utilizing this functionality. Using this functionality, combined with machine learning one’s probable destination can be predicted with a reasonable accuracy. People don’t always use map-based navigation for the places they visit every day, like their work place or school and there may be significant traffic on the regular route taken, however, if our device knows where we’re headed, it can warn us beforehand and help us reroute. This functionality can also be used by cops to determine the future location of a criminal fleeing a crime scene.These features and functionalities can be implemented through various machine learning algorithms which are compared to determine the most accurate one. The proposed system can predict a user’s future location using the current location and time, learning from the user’s previously visited locations.
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