Considering the multimodal nature of transport systems and potential
cross-modal correlations, there is a growing trend of enhancing demand
forecasting accuracy by learning from multimodal data. These multimodal
forecasting models can improve accuracy but be less practical when different
parts of multimodal datasets are owned by different institutions who ca