A Survey of Open Source User Activity Traces with Applications to User
Mobility Characterization and Modeling
- URL: http://arxiv.org/abs/2110.06382v1
- Date: Tue, 12 Oct 2021 22:05:11 GMT
- Title: A Survey of Open Source User Activity Traces with Applications to User
Mobility Characterization and Modeling
- Authors: Sinjoni Mukhopadhyay King, Faisal Nawab, Katia Obraczka
- Abstract summary: Current state-of-the-art in user mobility research has extensively relied on open-source mobility traces.
Most of these traces are feature-rich and diverse, not only in the information they provide, but also in how they can be used and leveraged.
This survey proposes a taxonomy to classify open-source mobility traces including their mobility mode, data source and collection technology.
- Score: 4.146672630717472
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: The current state-of-the-art in user mobility research has extensively relied
on open-source mobility traces captured from pedestrian and vehicular activity
through a variety of communication technologies as users engage in a wide-range
of applications, including connected healthcare, localization, social media,
e-commerce, etc. Most of these traces are feature-rich and diverse, not only in
the information they provide, but also in how they can be used and leveraged.
This diversity poses two main challenges for researchers and practitioners who
wish to make use of available mobility datasets. First, it is quite difficult
to get a bird's eye view of the available traces without spending considerable
time looking them up. Second, once they have found the traces, they still need
to figure out whether the traces are adequate to their needs.
The purpose of this survey is three-fold. It proposes a taxonomy to classify
open-source mobility traces including their mobility mode, data source and
collection technology. It then uses the proposed taxonomy to classify existing
open-source mobility traces and finally, highlights three case studies using
popular publicly available datasets to showcase how our taxonomy can tease out
feature sets in traces to help determine their applicability to specific
use-cases.
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