Traﬃc4cast 2021

doi:doi:10.57702/k7zjh26z

Traﬃc4cast 2021

The Traﬃc4cast 2021 competition provides a unique data set derived from industrial scale trajectories of raw GPS position ﬁxes, with latitude, longitude, time stamp, as well as vehicle speed and driving direction recorded at that time.

BibTex:

@dataset{Christian_Eichenberger_and_Moritz_Neun_and_Henry_Martin_and_Pedro_Herruzo_and_Markus_Spanring_and_Yichao_Lu_and_Sungbin_Choi_and_Vsevolod_Konyakhin_and_Nina_Lukashina_and_Aleksei_Shpilman_and_Nina_Wiedemann_and_Martin_Raubal_and_Bo_Wang_and_Hai_L_Vu_and_Reza_Mohajerpoor_and_Chen_Cai_and_Inhi_Kim_2024,
    abstract = {The Traﬃc4cast 2021 competition provides a unique data set derived from industrial scale trajectories of raw GPS position ﬁxes, with latitude, longitude, time stamp, as well as vehicle speed and driving direction recorded at that time.},
    author = {Christian Eichenberger and Moritz Neun and Henry Martin and Pedro Herruzo and Markus Spanring and Yichao Lu and Sungbin Choi and Vsevolod Konyakhin and Nina Lukashina and Aleksei Shpilman and Nina Wiedemann and Martin Raubal and Bo Wang and Hai L. Vu and Reza Mohajerpoor and Chen Cai and Inhi Kim},
    doi = {10.57702/k7zjh26z},
    institution = {No Organization},
    keyword = {'GPS data', 'geospatial processes', 'traffic forecasting', 'traﬃc dynamics'},
    month = {dec},
    publisher = {TIB},
    title = {Traﬃc4cast 2021},
    url = {https://service.tib.eu/ldmservice/dataset/tra-c4cast-2021},
    year = {2024}
}