Prediction through Description

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. IEEE Transactions on Intelligent Transportation Systems, 2023-07-17. (more) (download)

H. Martin, Y. Hong, N. Wiedemann, D. Bucher, and M. Raubal (2023) Trackintel: An Open-source Python Library for Human Mobility Analysis. Computers, Environment and Urban Systems, 101, 101938, 2023-04-01. (more) (download)

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)

H. Martin, N. Wiedemann, D. J. Reck, and M. Raubal (2023) Graph-Based Mobility Profiling. Computers, Environment and Urban Systems, 100, 101910, 2023-01-03. (more) (download)

Y. Hong, H. Martin, Y. Xin, D. Bucher, D. J. Reck, K. W. Axhausen, and M. Raubal (2023) Conserved Quantities in Human Mobility: From Locations to Trips. Transportation Research Part C: Emerging Technologies, 146, 103979, 2023-01-01. (more) (download)

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)

N. Wiedemann, H. Martin, and M. Raubal (2022) Unlocking Social Network Analysis Methods for Studying Human Mobility. AGILE: GIScience Series, 3, 1-12, 2022-06-10. (more) (download)

H. Cai, Y. Xin, H. Martin, and M. Raubal (2022) Optimizing Electric Vehicle Charging Schedules Based on Probabilistic Forecast of Individual Mobility. AGILE: GIScience Series, 3, 1-13, 2022-06-10. (more) (download)

H. Martin, R. Buffat, D. Bucher, J. Hamper, and M. Raubal (2022) Using Rooftop Photovoltaic Generation to Cover Individual Electric Vehicle Demand – A Detailed Case Study. Renewable and Sustainable Energy Reviews, 157, 111969, 2022-04-01. (more) (download)

D. J. Reck, H. Martin, and K. W. Axhausen (2022) Mode Choice, Substitution Patterns and Environmental Impacts of Shared and Personal Micro-Mobility. Transportation Research Part D: Transport and Environment, 102, 103134, 2022-01-01. (more) (download)

Y. Hong, Y. Xin, H. Martin, D. Bucher, and M. Raubal (2021) A Clustering-Based Framework for Individual Travel Behaviour Change Detection. Leibniz International Proceedings in Informatics (LIPIcs), 11th International Conference on Geographic Information Science (GIScience) – Part 2, 4, 1-15, 2021-09-14. (more) (download)

N. Alinaghi, M. Kattenbeck, A. Golab, and I. Giannopoulos (2021) Will You Take this Turn? Gaze-Based Turning Activity Recognition During Navigation. Leibniz International Proceedings in Informatics (LIPIcs), 11th International Conference on Geographic Information Science (GIScience) - Part 2, 5, 1-16, 2021-09-14. (more) (download)

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)

H. Martin, D. J. Reck, and M. Raubal (2021) Using Information and Communication Technologies to Facilitate Mobility Behaviour Change and Enable Mobility as a Service. Journal for Geographic Information Science, GI_Forum, 9, 1, 2021-06-29. (more) (download)

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)

J. Lehner, A. Mitterecker, T. Adler, M. Hofmarcher, B. Nessler, and S. Hochreiter (2019) Patch Refinement – Localized 3D Object Detection. Machine Learning for Autonomous Driving Workshop at NeurIPS 2019, Vancouver, 10-12 Dec 2019, or preprint arXiv, 1910.04093v1, Computer Vision and Pattern Recognition (cs.CV), 2019-10-09. (more) (download)

M. Hofmarcher, T. Unterthiner, J. Arjona-Medina, G. Klambauer, S. Hochreiter, and B. Nessler (2019) Visual scene understanding for autonomous driving using semantic segmentation. in Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, Springer, 285, 2019-09-10. (more) (download)