Traffic flow prediction is an essential part of the intelligent transport system. This is the
accurate estimation of traffic flow in a given region at a particular interval of time in the future …

In the last few years, there has been an exponential increase in the usage of the
autonomous vehicles across the globe. It is due to an exponential increase in the popularity …

The traffic flow prediction is becoming increasingly crucial in Intelligent Transportation
Systems. Accurate prediction result is the precondition of traffic guidance, management, and …

Accurate and timely short-term traffic flow prediction plays an important role in intelligent
transportation management and control. Traffic flow prediction has a long history and is still …

Traffic forecasting has been an active research field in recent decades, and with the
development of deep-learning technologies, researchers are trying to utilize deep learning …

Traffic congestion prediction is critical for implementing intelligent transportation systems for
improving the efficiency and capacity of transportation networks. However, despite its …

In this study, a novel spatiotemporal graph convolutional networks model is proposed for
traffic flow prediction in urban road networks by fully considering an information geometry …

Timely and accurate traffic speed prediction has gained increasing importance for urban
traffic management and hel** one to make advisable travel decision. However, the …

Congestion of traffic is a key problem faced in a majority of metro cities, especially in the
develo** world. Traffic congestion comprises of queues, reduced speeds, and increased …

Abstract Intelligent Transportation Systems (ITS) help improve the ever‐increasing vehicular
flow and traffic efficiency in urban traffic to reduce the number of accidents. The generation …