Showing results 1 to 9 of 9
| Title | Author(s) | Issue Date | |
|---|---|---|---|
A Graph Deep Learning Model for Station Ridership Prediction in Expanding Metro Networks Proceeding/Conference:UrbanAI '24: The 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI (29/10/2024-01/11/2024, Atlanta, GA) | 29-Oct-2024 | ||
| 1-Dec-2024 | |||
Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction Using Domain-Adversarial Graph Neural Networks Journal:IEEE Transactions on Intelligent Transportation Systems | 17-Oct-2023 | ||
Deep trip generation with graph neural networks for bike sharing system expansion Journal:Transportation Research Part C: Emerging Technologies | 1-Sep-2023 | ||
Exploring large language models for human mobility prediction under public events Journal:Computers, Environment and Urban Systems | 1-Sep-2024 | ||
Generating sparse origin–destination flows on shared mobility networks using probabilistic graph neural networks Journal:Sustainable Cities and Society | 1-Nov-2024 | ||
Time-aware trip generation for bike sharing system planning Proceeding/Conference:29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023) (06/08/2023-10/08/2023, Long Beach, CA, USA) | 23-Aug-2023 | ||
| 1-Jun-2024 | |||
Understanding market competition between transportation network companies using big data Journal:Transportation Research Part A: Policy and Practice | 1-Jul-2023 |