当前位置: X-MOL 学术arXiv.cs.IR › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
VJA\'G\'G -- A Thick-Client Smart-Phone Journey Detection Algorithm
arXiv - CS - Information Retrieval Pub Date : 2019-08-28 , DOI: arxiv-1908.10725
Michael P. J. Camilleri, Adrian Muscat, Victor Buttigieg, and Maria Attard

In this paper we describe $Vja\dot{g}\dot{g}$, a battery-aware journey detection algorithm that executes on the mobile device. The algorithm can be embedded in the client app of the transport service provider or in a general purpose mobility data collector. The thick client setup allows the customer/participant to select which journeys are transferred to the server, keeping customers in control of their personal data and encouraging user uptake. The algorithm is tested in the field and optimised for both accuracy in registering complete journeys and battery power consumption. Typically the algorithm can run for a full day without the need of recharging and more than 88% of journeys are correctly detected from origin to destination, whilst 12% would be missing part of the journey.

中文翻译:

VJA\'G\'G -- 一种胖客户端智能手机旅程检测算法

在本文中,我们描述了 $Vja\dot{g}\dot{g}$,一种在移动设备上执行的电池感知旅程检测算法。该算法可以嵌入到运输服务提供商的客户端应用程序或通用移动数据收集器中。胖客户端设置允许客户/参与者选择将哪些旅程传输到服务器,让客户控制他们的个人数据并鼓励用户接受。该算法在现场进行了测试,并针对记录完整旅程的准确性和电池功耗进行了优化。通常,该算法可以运行一整天而无需充电,并且 88% 以上的旅程都被正确检测到从起点到终点,而 12% 会丢失部分旅程。
更新日期:2020-04-03
down
wechat
bug