Passenger flow forecast is the prerequisite and foundation for urban rail transit planning and
operation. With the continuous expansion of rail network scale and the surge of passenger …

Even though a variety of human mobility models have been recently developed, models that
can capture real-time human mobility of urban populations in a sustainable and economical …

It has been demonstrated that local prediction approaches show better prediction
performance compared with global ones. The paper proposes a novel local prediction …

We investigate regional features nearby the subway station using the clustering method
called the funFEM and propose a two-step procedure to predict a subway passenger …

Forecasting user flows on transportation networks is a fundamental task for Intelligent
Transport Systems (ITSs). Indeed, most control and management strategies on …

Short-term forecasting of passenger flow is critical for transit management and crowd
regulation. Spatial dependencies, temporal dependencies, inter-station correlations driven …

流空间是认识城市网络结构和演化的重要手段. **年来大数据的快速发展为流空间研究提供了新
的机遇和挑战. 论文系统综述了基于大数据的流空间研究进展. 首先, 论文梳理了基于大数据流 …

Short-term forecasting of metro transit passenger flows is of great importance to the urban
subway system in the various aspects of train and crew scheduling, congestion mitigation …

The paper proposes a methodology for providing personalized, predictive in-vehicle
crowding information to public transport travellers via mobile applications or at-stop displays …

This paper deals with the efficiency and sustainability of urban rail transit (URT) using
exploratory data analytics (EDA) and data envelopment analysis (DEA). The first stage of the …