Nov. 9, 2022, 2:54 p.m. | Alon Cohen

Towards Data Science - Medium towardsdatascience.com

Naive solution proposal for synthetic mobility data generation

Visualized using Kepler.gl

Mobility data is the geographic locations of a device, passively produced through normal activity. It has important applications ranging from transportation planning to migration forecasting. As mobility data is rare and hard to collect, researchers have begun exploring solutions for synthetically generating it.

In this article, I will discuss a naive solution for generating synthetic mobility data. This synthetic data can be used for research purposes and for training …

data data science data visualization geographic-information mobility synthetic data

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Robotics Technician - 3rd Shift

@ GXO Logistics | Perris, CA, US, 92571