Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. - Moritz Neun; Christian Eichenberger; Henry Martin; Markus Spanring; Rahul Siripurapu; Daniel Springer; Leyan Deng; Chenwang Wu; Defu Lian; Min Zhou 006; Martin Lumiste; Andrei Ilie; et al. (NeurIPS (Competition and Demos), 2021)

How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics. - Aoyong Li; Pengxiang Zhao; He Haitao; Ali Mansourian; Kay W. Axhausen (Comput. Environ. Urban Syst., 2021)

Geo-fence planning for dockless bike-sharing systems: a GIS-based multi-criteria decision analysis framework. - Max Mangold; Pengxiang Zhao; He Haitao; Ali Mansourian (Urban Inform., 2022)

Memory-facilitated Joint-space Shift Adaptation in Traffic Forecasting. - Ye Wei; He Haitao; Gerald Schaefer; Zhigang Ji; Yifan Wang 008; Hui Fang 003 (IJCNN, 2024)

A Memory-augmented Conditional Neural Process model for traffic prediction. - Ye Wei; He Haitao; Kunhao Yuan; Gerald Schaefer; Zhigang Ji; Hui Fang 003 (Knowl. Based Syst., 2024)

A Multiscale Framework for Capturing Oscillation Dynamics of Autonomous Vehicles in Data-Driven Car-Following Models. - Rowan Davies; He Haitao; Hui Fang 003 (IEEE Trans. Intell. Transp. Syst., 2024)