Henry Martin

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, Y. Hong, N. Wiedemann, D. Bucher, and M. Raubal (2022) Trackintel: An Open-source Python Library for Human Mobility Analysis. arXiv:2206.03593, 2022-06-07. (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)

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)

M. Franke, H. Martin, S. Koch, and K. Kurzhals (2021) Visual Analysis of Spatio-Temporal Phenomena with 1D Projections. Eurographics Conference on Visualization (EuroVis), 40, 3, 2021-06-17. (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)

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)