With the recent increase in urban drift, which has led to an unprecedented surge in urban
population, the smart city (SC) transportation industry faces a myriad of challenges …

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 …

Short-term origin–destination (OD) flow prediction in urban rail transit (URT) plays a crucial
role in smart and real-time URT operation and management. Different from other short-term …

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 …

Traffic congestion is a thorny issue to many large and medium-sized cities, posing a serious
threat to sustainable urban development. Recently, intelligent traffic system (ITS) has …

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

In recent years, artificial intelligence technologies have been successfully applied in time
series prediction and analytic tasks. At the same time, a lot of attention has been paid to …

Subway passenger flow prediction is of great significance in transportation planning and
operation. Special events, as for vocal concerts and sports games, lead large-scaled …

Urban Rail Transit Systems (URTS) have increasingly become the backbone of modern
public transportation, attributed to their unparalleled convenience, high efficiency, and …

With the development of modern cities, urban rail transit has become an indispensable part
of residents' travelling mode, and accurate prediction of urban rail transit passenger flow is …