Exploring Spatio-temporal Movements for Intelligent Mobility Services

Tobias Grüner, Sören Frey, Jens Nahm, Dirk Reichardt

Abstract

Mobility services can substantially benefit from incorporating movement behavior information. Models of daily travel routines can facilitate intelligent recommendations of suitable car sharing, ride pooling, or Mobility as a Service (MaaS) offerings, for instance. However, existing approaches that infer regular travel activities from historical location data exhibit several limitations. For example, they often have an insufficient resolution in the spatial and temporal dimension or are restricted to predicting only the next location visit. This paper presents an activity-based approach to model daily travel routines and predict regularities with the help of machine learning (ML). We first extract points of interest (POIs) and corresponding visits from historical location data. Then, regularities for these visits are identified with the help of classification. We validate our work in progress approach using data from voluntary, consenting test subjects (CTS) who agreed to track their movements. They labeled their own data for each activity with corresponding regularity information. We show that POI visits can already be predicted reliably for the first classes of movements.

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Paper Citation


in Harvard Style

Grüner T., Frey S., Nahm J. and Reichardt D. (2020). Exploring Spatio-temporal Movements for Intelligent Mobility Services.In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-419-0, pages 123-128. DOI: 10.5220/0009563801230128


in Bibtex Style

@conference{vehits20,
author={Tobias Grüner and Sören Frey and Jens Nahm and Dirk Reichardt},
title={Exploring Spatio-temporal Movements for Intelligent Mobility Services},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2020},
pages={123-128},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009563801230128},
isbn={978-989-758-419-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Exploring Spatio-temporal Movements for Intelligent Mobility Services
SN - 978-989-758-419-0
AU - Grüner T.
AU - Frey S.
AU - Nahm J.
AU - Reichardt D.
PY - 2020
SP - 123
EP - 128
DO - 10.5220/0009563801230128