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 …

Component reliability plays a pivotal role in industrial systems, which are evolving with
larger complexity and higher dimensionality of data. It is insufficient to ensure reliability and …

An accurate origin–destination (OD) passenger flow prediction system is crucially important
for urban metro operation and management. However, there are still lacking targeted …

Energy consumption prediction is crucial for planning and managing natural gas networks,
enhancing transmission efficiency. However, most of relevant studies fail to consider the …

Accurate short-term subway passenger flow forecasting is essential in improving the
efficiency of daily operation and the management of subway system. Existing research often …

Short-term passenger flow prediction (STPFP) helps ease traffic congestion and optimize
urban rail transit (URT) system resource allocation. Although graph-based models have …

Accurate short-term passenger flow prediction in urban rail transit is critical in ensuring the
stable operation of urban rail systems. However, accurate passenger flow prediction still …

Short-term metro ridership prediction is of great significance to efficient and economic
operation of Urban Rail Transit (URT) systems. With the popularity of Graph Convolution …

The growth of bike-sharing systems worldwide has led to an increased need for accurate
bike-sharing flow prediction at the station level. However, previous studies mostly …

In the era of big data, there has been a surge in the availability of data containing rich spatial
and temporal information, offering valuable insights into dynamic systems and processes for …