Dynamic Demand Prediction

Hui discusses the significance of accurate demand predictions for optimizing rebalancing efforts in transportation systems. By removing outliers and incorporating dynamic predictions, the approach shows substantial improvement in performance. The potential for real-world application, particularly in collaboration with Citibank, highlights the importance of leveraging open data for societal benefits.