Back to search

Article

Privacy Preserving Human Mobility Generation using Grid based Data and Graph Autoencoders

2024-05-30

Abstract excerpt

The proposed method deals with the problem of data privacy and sharing when processing personal mobility tracking data. Previous methods concentrate on producing highly detailed data on short-term and restricted areas, e.g. for autonomous driving scenarios. Another possibility consists of city-wide scales and beyond, that are used to predict general traffic flows. The presented approach takes the tracked mobility...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
a37d8b9a-46d7-5ebb-9399-c834152f2cf7
DOI
10.20944/preprints202405.1988.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Privacy Preserving Human Mobility Generation using Grid based Data and Graph AutoencodersDOI 10.20944/preprints202405.1988.v1
Select a neighboring publication to make it the new centre.