Traffic Prediction
2023
M. Neun, C. Eichenberger, H. Martin, M. Spanring, R. Siripurapu, D. Springer, L. Deng, C. Wu, D. Lian, M. Zhou, M. Lumiste, A. Ilie, X. Wu, C. Lyu, Q.-L. Lu, V. Mahajan, Y. Lu, J. Li, J. Li, Y.-J. Gong, F. Grötschla, J. Mathys, Y. Wei, H. Haitao, H. Fang, K. Malm, F. Tang, M. Kopp, D. Kreil, and S. Hochreiter (2023) Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. arXiv:2303.07758, 2023-03-14. (more) (download)
M. Neun, C. Eichenberger, Y. Xin, C. Fu, N. Wiedemann, H. Martin, M. Tomko, L. Ambühl, L. Hermes, and M. Kopp (2023) Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities. arXiv:2302.08761, 2023-02-17. (more) (download)
2022
C. Eichenberger, M. Neun, H. Martin, P. Herruzo, M. Spanring, Y. Lu, S. Choi, V. Konyakhin, N. Lukashina, A. Shpilman, N. Wiedemann, M. Raubal, B. Wang, H. L. Vu, R. Mohajerpoor, C. Cai, I. Kim, L. Hermes, A. Melnik, R. Velioglu, M. Vieth, M. Schilling, A. Bojesomo, H. Al Marzouqi, P. Liatsis, J. Santokhi, D. Hillier, Y. Yang, J. Sarwar, A. Jordan, E. Hewage, D. Jonietz, F. Tang, A. Gruca, M. Kopp, D. Kreil, and S. Hochreiter (2022) Traffic4cast at NeurIPS 2021 – Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS 2021 Competitions and Demonstrations Track, PMLR, 176, 97-112, 2022-07-20. (more) (download)
2021
M. Kopp, D. Kreil, M. Neun, D. Jonietz, H. Martin, P. Herruzo, A. Gruca, A. Soleymani, F. Wu, Y. Liu, J. Xu, J. Zhang, J. Santokhi, A. Bojesomo, H. Al Marzouqi, P. Liatsis, P. H. Kwok, Q. Qi, and S. Hochreiter (2021) Traffic4cast at NeurIPS 2020 – Yet More on the Unreasonable Effectiveness of Gridded Geo-Spatial Processes. Proceedings of the NeurIPS 2020 Competition and Demonstration Track, PMLR, 133, 325-343, 2021. (more) (download)
2020
D. P. Kreil, M. K. Kopp, D. Jonietz, M. Neun, A. Gruca, P. Herruzo, H. Martin, A. Soleymani, and S. Hochreiter (2020) The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task – Insights from the IARAI Traffic4cast Competition at NeurIPS 2019. Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR, 123, 232-241, 2020-08-19. (more) (download)
P. Herruzo & J. L. Larriba-Pey (2020) Recurrent Autoencoder with Skip Connections and Exogenous Variables for Traffic Forecasting. Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123, 47-55, 2020-08-19. (more) (download)
H. Martin, D. Bucher, Y. Hong, R. Buffat, C. Rupprecht, and M. Raubal (2020) Graph-ResNets for short-term traffic forecasts in almost unknown cities. Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123, 153-163, 2020-08-19. (more) (download)