Precise vehicle state and the surrounding traffic information are essential for decision-
making and dynamic control of intelligent connected vehicles. Tremendous research efforts …

In order to improve handling stability performance and active safety of a ground vehicle, a
large number of advanced vehicle dynamics control systems—such as the direct yaw control …

We present a macroscopic model-based approach for the estimation of the total density and
flow of vehicles, for the case of “mixed” traffic, ie, traffic comprising both ordinary and …

In the test bed of connected vehicles, detailed trajectory data are collected for connected
vehicles only. It brings challenges to study the car-following behavior of connected vehicles …

Real‐time traffic state estimation is of importance for efficient traffic management. This is
especially the case for traffic management systems that require fast detection of changes in …

This paper presents a systematic solution to efficiently estimate the traffic state of large-scale
urban road networks. We first propose the new approach to construct the exact GIS-T digital …

In the near future, connected and autonomous vehicles (CAVs) will share road space with
human-driven vehicles (HVs). In this mixed vehicular traffic, effective following cooperation …

Urban traffic state estimation aims at providing accurate and reliable information about traffic
flow characteristics, which can be used for urban traffic management. Traditional estimation …

In real-time traffic management and intelligent transportation systems (ITS) applications, an
accurate picture of the prevailing traffic state in terms of speeds and densities is critical, for …

This paper proposes a method of estimating a traffic state based on probe vehicle data that
contain spacing and position of probe vehicles. The probe vehicles were assumed to …