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在实际运行条件下基于手机对用户交通方式的分类。

Classification of users' transportation modalities from mobiles in real operating conditions.

作者信息

Badii Claudio, Difino Angelo, Nesi Paolo, Paoli Irene, Paolucci Michela

机构信息

Department of Information Engineering, Distributed Systems and Internet Tech lab, DISIT Lab, University of Florence, Florence, Italy.

出版信息

Multimed Tools Appl. 2022;81(1):115-140. doi: 10.1007/s11042-021-10993-y. Epub 2021 May 26.

DOI:10.1007/s11042-021-10993-y
PMID:34075301
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8153851/
Abstract

The modern mobile phones and the complete digitalization of the public and private transport networks have allowed to access useful information to understand the user's mean of transportation. This enables a plethora of old and new applications in the fields of sustainable mobility, smart transportation, assistance, and e-health. The precise understanding of the travel means is at the basis of the development of a large range of applications. In this paper, a number of metrics has been identified to understand whether an individual on the move is stationary, walking, on a motorized private or public transport, with the aim of delivering to city users personalized assistance messages for: sustainable mobility, health, and/or for a better and enjoyable life, etc. Differently from the state-of-the-art solutions, the proposed approach has been designed to provide results, and thus collect metrics, in (imposed on the mobile phones as: a range of different mobile phone kinds, operating system constraints managing Applications, active battery consumption manager, etc.). The paper reports the whole experimentations and results. The solution has been developed in the context of Sii-Mobility Km4City Research Project infrastructure and tools, performed with the collaboration of public transport operators, and GDPR compliant. The same solution has been used in Snap4City mobile Apps with experiments performed in Antwerp and Helsinki.

摘要

现代移动电话以及公共和私人交通网络的全面数字化,使得获取有助于了解用户交通方式的有用信息成为可能。这催生了可持续交通、智能交通、辅助和电子健康等领域大量的新旧应用。对出行方式的精确理解是众多应用开发的基础。本文确定了一些指标,以了解移动中的个人是静止不动、步行、乘坐机动化私人交通工具还是公共交通工具,目的是为城市用户提供个性化的辅助信息,用于:可持续交通、健康和/或更美好、愉悦的生活等。与现有解决方案不同,所提出的方法旨在(在对移动电话施加的条件下:一系列不同类型的移动电话、管理应用程序的操作系统限制、活跃电池消耗管理器等)提供结果,从而收集指标。本文报告了整个实验过程和结果。该解决方案是在Sii-Mobility Km4City研究项目的基础设施和工具背景下开发的,与公共交通运营商合作进行,并且符合通用数据保护条例(GDPR)。相同的解决方案已用于Snap4City移动应用程序,并在安特卫普和赫尔辛基进行了实验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/f68535cde065/11042_2021_10993_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/b71dae7f8498/11042_2021_10993_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/fe3f99c4473f/11042_2021_10993_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/222d50f3fa32/11042_2021_10993_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/5b6e506ac114/11042_2021_10993_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/f66e310870ca/11042_2021_10993_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/3e0dad2ebe29/11042_2021_10993_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/e721a286fac6/11042_2021_10993_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/6538a1c8e1f3/11042_2021_10993_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/f68535cde065/11042_2021_10993_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/b71dae7f8498/11042_2021_10993_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/fe3f99c4473f/11042_2021_10993_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/222d50f3fa32/11042_2021_10993_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/5b6e506ac114/11042_2021_10993_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/f66e310870ca/11042_2021_10993_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/3e0dad2ebe29/11042_2021_10993_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/e721a286fac6/11042_2021_10993_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/6538a1c8e1f3/11042_2021_10993_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5faa/8153851/f68535cde065/11042_2021_10993_Fig9_HTML.jpg

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