Cross-checking different sources of mobility information

M Lenormand, M Picornell, OG Cantú-Ros, A Tugores… - PloS one, 2014 - journals.plos.org
The pervasive use of new mobile devices has allowed a better characterization in space and
time of human concentrations and mobility in general. Besides its theoretical interest …

Characterizing user mobility using mobile sensing systems

S Faye, W Bronzi, I Tahirou… - International Journal of …, 2017 - journals.sagepub.com
Recent technological advances and the ever-greater developments in sensing and
computing continue to provide new ways of understanding our daily mobility. Smart devices …

Beyond travel time savings: Conceptualizing and modelling the individual value proposition of mobility

G Lugano, Z Kurillova, M Hudák… - Data Analytics: Paving the …, 2019 - Springer
Sustainable urban mobility planning (SUMP) plays a significant role as an integrated
strategic management tool in enabling, among others, a participatory approach in urban …

Spatiotemporal data from mobile phones for personal mobility assessment

Z Smoreda, AM Olteanu-Raimond… - … survey methods: best …, 2013 - emerald.com
Purpose—In this chapter, we will review several alternative methods of collecting data from
mobile phones for human mobility analysis. We propose considering cellular network …

Non-intrusive privacy-preserving approach for presence monitoring based on WiFi probe requests

A Simončič, M Mohorčič, M Mohorčič, A Hrovat - Sensors, 2023 - mdpi.com
Monitoring the presence and movements of individuals or crowds in a given area can
provide valuable insight into actual behavior patterns and hidden trends. Therefore, it is …

Towards privacy-preserving wi-fi monitoring for road traffic analysis

P Fuxjaeger, S Ruehrup, T Paulin… - IEEE Intelligent …, 2016 - ieeexplore.ieee.org
The penetration of Wi-Fi enabled personal mobile internet devices has dramatically
increased over the last few years. Consequentially, the presence of those devices within …

Identifying stops and moves in WiFi tracking data

C Chilipirea, M Baratchi, C Dobre, M Steen - Sensors, 2018 - mdpi.com
There are multiple methods for tracking individuals, but the classical ones such as using
GPS or video surveillance systems do not scale or have large costs. The need for large …

Identifying points of interest and similar individuals from raw gps data

T Andrade, J Gama - Mobility Internet of Things 2018: Mobility IoT, 2020 - Springer
Smartphones and portable devices have become ubiquitous and part of everyone's life. Due
to the fact of its portability, these devices are perfect to record individuals' traces and life …

Towards mobility data science (vision paper)

M Mokbel, M Sakr, L Xiong, A Züfle, J Almeida… - arXiv preprint arXiv …, 2023 - arxiv.org
Mobility data captures the locations of moving objects such as humans, animals, and cars.
With the availability of GPS-equipped mobile devices and other inexpensive location …

Extracting trips from multi-sourced data for mobility pattern analysis: An app-based data example

F Wang, J Wang, J Cao, C Chen, XJ Ban - Transportation Research Part C …, 2019 - Elsevier
Passively-generated data, such as GPS data and cellular data, bring tremendous
opportunities for human mobility analysis and transportation applications. Since their …