Determining user specific semantics of locations extracted from trajectory data

verfasst von

Jens Golze, Monika Sester

Abstract

Knowledge about people's daily travel behavior is very relevant for transportation planning, but also for urban and regional planning in general. This information is typically collected through questionnaires or surveys. With the increasing availability of mobile devices capable of using Global Navigation Satellite Systems, it is possible to derive individual mobility behavior on a large scale and for a variety of different users. However, the challenge is to derive the relevant information from the mere GNSS trajectories; in this paper, the relevant information is semantic locations such as home, work place or leisure places. This paper presents an approach to first detect and cluster stop points as potential semantic locations of a user, which are then enriched with Points of Interest from OpenStreetMap and additional features, and finally a Viterbi optimization assigns the most probable semantics to these locations. Overall, this approach produces promising results for predicting user location semantics on a generalized level.

Organisationseinheit(en)

Institut für Kartographie und Geoinformatik

Typ

Konferenzaufsatz in Fachzeitschrift

Journal

Transportation Research Procedia

Band

78

Seiten

215-221

Anzahl der Seiten

7

ISSN

2352-1457

Publikationsdatum

2024

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Verkehr

Ziele für nachhaltige Entwicklung

SDG 11 – Nachhaltige Städte und Gemeinschaften

Elektronische Version(en)

https://doi.org/10.1016/j.trpro.2024.02.028 (Zugang: Offen)