Inferring transportation modes from GPS trajectories using a convolutional neural network
- DOI
- 10.1016/j.trc.2017.11.021
- Published
- 2018-04-05T18:26:12Z
- Container
- Transportation Research Part C: Emerging Technologies 86 (2018): 360-371
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.trc.2017.11.021,
title = {Inferring transportation modes from GPS trajectories using a convolutional neural network},
author = {Sina Dabiri and Kevin Heaslip},
year = {2018},
journal = {Transportation Research Part C: Emerging Technologies 86 (2018): 360-371},
doi = {10.1016/j.trc.2017.11.021},
url = {https://doi.org/10.1016/j.trc.2017.11.021}
}RIS
TY - JOUR TI - Inferring transportation modes from GPS trajectories using a convolutional neural network AU - Sina Dabiri AU - Kevin Heaslip PY - 2018 JO - Transportation Research Part C: Emerging Technologies 86 (2018): 360-371 DO - 10.1016/j.trc.2017.11.021 UR - https://doi.org/10.1016/j.trc.2017.11.021 ER -
APA
Dabiri, S., & Heaslip, K. (2018). Inferring transportation modes from GPS trajectories using a convolutional neural network. Transportation Research Part C: Emerging Technologies 86 (2018): 360-371. https://doi.org/10.1016/j.trc.2017.11.021
Source records
- arxiv · retrieved 2026-09-25T04:36:30.648Z