Building data-driven intelligent transportation is a significant task for establishing data-
centric smart cities, and exceptionally efficient and accurate traffic flow prediction (TFP) is a …

In an urban environment, the accurate prediction of congestion levels is a prerequisite for
formulating traffic demand management strategies reasonably. Current traffic forecasting …

Knowledge of the truck traffic volumes on state and interstate highways is critical for highway
authorities and federal organizations. Increased urbanization, population growth, and …

Building a real-time spatio-temporal forecasting system is a challenging problem which has
many practical applications such as traffic and road network management. Most forecasting …

With the rapid development and application of intelligent traffic systems, traffic flow
prediction has attracted an increasing amount of attention. Accurate and timely traffic flow …

Building a real-time spatio-temporal forecasting system is a challenging problem with many
practical applications such as traffic and road network management. Most forecasting …

Scholars have long sought to identify key city locations that have a pronounced effect on the
flow of people under various conditions. Identifying key locations makes it possible for …

Building a real-time, cost-effective, spatio-temporal forecasting system is a challenging
problem with many practical applications such as traffic and road network management …

Since the 21st century, the vigorous development of the Internet has brought about the rapid
rise of social platforms. People's desire to share has been satisfied, and the information such …

The recent development of V2V (Vehicle-to-Vehicle), V2I (Vehicle-to-Infrastructure), V2X
(Vehicle-to-Everything) and vehicle automation technologies have enabled the concept of …