With the development of 5G and Internet of Things technologies, the application process of
smart transportation in smart cities continues to advance. Sensors are a key source of …

Multiple pattern analyses of traffic data have been conducted previously; however, it has yet
to be explored with an awareness of temporal factors in big real-world traffic data. In this …

Accurate and real-time traffic flow prediction is crucial in intelligent transportation systems
(ITS), and the traditional shallow prediction methods are challenging to capture the …

Timely and accurate traffic speed predictions are an important part of the Intelligent
Transportation System (ITS), which provides data support for traffic control and guidance …

Recent years have witnessed exciting developments in our transportation system with
increasingly intelligent vehicles and infrastructure. The transportation system is envisioned …

Real‐time and accurate multi‐lane traffic condition forecasting is of great importance to the
connected and automated vehicle highway system. However, the majority of existing deep …

This paper presents an innovative method to adaptively optimize traffic signal plans based
on the estimation of traffic situation achieved from the information of various penetration …

Kalman filtering is a common filtering method for millimeter-wave traffic radars. The proposal
is for an Adaptive Strong Tracking Extended Kalman Filter (EKF) algorithm that aims to …

To accurately predict traffic flow on the highways, this paper proposes a Convolutional
Neural Network-Bi-directional Long Short-Term Memory-Attention Mechanism (CNN …

Edge computing is one of the key features of the 5G technology-scape that is realizing new
and enhanced automotive use cases for improving road safety and emergency response …