Accurate and efficient traffic prediction is the key to the realization of intelligent transportation
system (ITS), which helps to alleviate traffic congestion and reduce traffic accidents. Due to …

Traffic prediction is a popular research topic in the field of Intelligent Transportation System
(ITS), as it can allocate resources more reasonably, relieve traffic congestion, and improve …

Accurate urban traffic prediction is a critical issue in Intelligent Transportation Systems (ITS).
It is challenging since urban traffic usually indicates high dynamic spatio-temporal …

Multi-nodes traffic flow prediction in road network has been a topical issue in ITS (Intelligent
Transportation Systems) and V2X (Vehicle to Everything). As an extension of single node …

Traffic prediction is an important part of building a smart city. Reasonable traffic prediction
can help the relevant departments to make important decisions and help people to plan their …

Accurate and reliable traffic flow prediction is critical to the safe and stable deployment of
intelligent transportation systems. However, it is very challenging since the complex spatial …

Recently, Graph Convolution Network (GCN) and Temporal Convolution Network (TCN) are
introduced into traffic prediction and achieve state-of-the-art performance due to their good …

Accurate traffic prediction plays a crucial role in improving traffic conditions and optimizing
road utilization. Effectively capturing the multi-scale temporal dependencies and dynamic …

Accurate traffic prediction plays an important role in Intelligent Transportation System. This
problem is very challenging due to the heterogeneity and dynamic spatio-temporal …

As a critical component of Intelligent Transportation Systems (ITS), traffic flow prediction is
indispensable for vehicle routing and transportation management. However, traffic …