Learning Spatio-Temporal Dynamics on Mobility Networks for Adaptation to Open-World Events

Engineering, Transportation Engineering, Information Science, Computer Science, Artificial Intelligence,
spatio-temporal dynamics   mobility networks   open-world events   graph neural networks   dynamic filter generator  

Adapting to Open-World Events via Learning Spatio-Temporal Dynamics on Mobility Networks Research Background In modern society, the Mobility-as-a-Service (MaaS) system is seamlessly integrated by various transportation modes (such as public transport, ride-sharing, and shared bicycles). To achieve efficient MaaS operation, modeling the spatio-tempo...