Traffic state estimation (TSE) refers to the process of the inference of traffic state variables
(ie, flow, density, speed and other equivalent variables) on road segments using partially …

Macroscopic traffic flow models are of paramount importance to traffic surveillance and
control. Before their employments in applications, the models need to be calibrated and …

Adaptive cruise control (ACC) vehicles are proving to be the first generation of automated
vehicles. Although many studies have found that, theoretically, ACC vehicles may have …

In this paper, a novel mesoscopic multilane model is proposed to enable simultaneous
simulation of mandatory and discretionary lane-changing behaviors to realistically capture …

Macroscopic fundamental diagram (MFD) is widely applied in network-level traffic control
and management with most applications necessitating a well-calibrated MFD. With various …

This paper addresses model-based approach considering online model parameters
estimation to estimate the real-time freeway traffic state for inhomogeneous traffic flow. Its …

Car following modeling framework seeks for a more realistic representation of car following
behavior in complex driving situations to improve traffic safety and to better understand …

Macroscopic fundamental diagram (MFD), establishing a map** from the network flow
accumulation to the trip completion rate, has been widely used for aggregate modeling of …

Traffic state estimation (TSE), which reconstructs the traffic variables (eg, speed, flow) on
road segments using partially observed data, plays an essential role in intelligent …

Real-time and accurate traffic state identification can provide reference for urban traffic
control and guidance. Due to the randomness and complexity of traffic flow, it is difficult to …