Urban rail transit: Model predicts demand with high accuracy during pandemic

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.

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