Abstract Accurate prediction of Public Transport (PT) mobility is important for intelligent
transportation. Nowadays, mobility data have become increasingly available with the …

Short‐term passenger flow forecasting can help the operation management department to
adjust the related work. At the same time, it can also guide the traveller to choose a …

With advanced artificial intelligence and deep learning techniques, a growing number of
data sources are playing more and more critical roles in planning and operating …

Rapid and accurate short-term passenger flow prediction plays an important and far-
reaching role in passenger flow control and early warning. In fact, the short-term passenger …

Passenger train delay significantly influences riders' decision to choose rail transport as their
mode choice. This article proposes real-time passenger train delay prediction (PTDP) …

Short-term passenger flow prediction is a critical component of urban rail transit operations.
However, predictions of passenger flow are mostly focused on one station, and land use …

Outbreak passenger flow is the main cause of rail transit congestion. In this regard, the
accurate forecast of passenger flow in advance will facilitate the traffic control department to …

In the current era of high precision monitoring and big data, many public transit users are still
suffering from problems caused by transit delays. To help address this problem, we design …

Short‐term passenger flow forecasting is a crucial task for urban rail transit operations.
Emerging deep‐learning technologies have become effective methods used to overcome …

Accurate and reliable travel time predictions in public transport networks are essential for
delivering an attractive service that is able to compete with other modes of transport in urban …