Author, as appears in the article.: A. Blanco-Justicia, N. Jebreel, J. A. Manjón and J. Domingo-Ferrer
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: Blanco Justicia, Alberto / Domingo Ferrer, Josep / Jebreel, Najeeb Moharram Salim / Manjón Paniagua, Jesús Alberto
Project code: 101006879
Abstract: Releasing and sharing mobility data, and specifically trajectories, is necessary for many applications, from infrastructure planning to epidemiology. Yet, trajectories are highly sensitive data, because the points visited by an individual can be identifying and also confidential. Hence, trajectories must be anonymized before releasing or sharing them. While most contributions to the trajectory anonymization literature take statistical approaches, deep learning is increasingly being used. We observe that natural language sentences and trajectories share a sequential nature that can be exploited in similar ways. In this paper, we present preliminary work on generating synthetic trajectories using machine learning models typically used for natural language processing. Our empirical results attest to the quality of the generated synthetic trajectories. Furthermore, our methods allow discovering natural neighborhoods based on trajectories.
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: najeeb.jebreel@urv.cat alberto.blanco@urv.cat josep.domingo@urv.cat jesus.manjon@urv.cat jesus.manjon@urv.cat jesus.manjon@urv.cat najeeb.jebreel@urv.cat
Author identifier: 0000-0002-1108-8082 0000-0001-7213-4962 0000-0003-3513-8109 0000-0003-3513-8109 0000-0003-3513-8109
Record's date: 2023-11-19
Papper version: info:eu-repo/semantics/acceptedVersion
Link to the original source: https://link.springer.com/chapter/10.1007/978-3-031-13945-1_13
Funding program: Horizon 2020
Papper original source: Lecture Notes In Computer Science. 13463 172-187
APA: A. Blanco-Justicia, N. Jebreel, J. A. Manjón and J. Domingo-Ferrer (2022). Generation of Synthetic Trajectory Microdata from Language Models. Lecture Notes In Computer Science, 13463(), 172-187
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Acronym: MOBIDATALAB
Entity: Universitat Rovira i Virgili
Journal publication year: 2022
Funding program action: Labs for prototyping future Mobility Data sharing cloud solutions
Publication Type: Journal Publications