In a recent study published in Engineering, a research team led by Jinlei Zhang from Beijing Jiaotong University, China, introduces a pioneering model that addresses the complex challenge of short-term origin-destination (OD) demand prediction in urban rail transit (URT) systems, particularly under the strain of a pandemic.
Urban rail transit: Model predicts demand with high accuracy during pandemic
