Many controllers have been designed for the longitudinal car-following mode of connected
and automated vehicles. The existing body of research shows that these controllers more or …

We investigate the dynamic performance of traffic flow using a modified optimal velocity car‐
following model. In the car‐following scenarios, the following vehicle must continuously …

In this paper, a novel car-following model is established integrating the drivers' memory of
previous information. The drivers' memory of the vehicle ahead is introduced as an …

Based on the car-following characteristic of connected autonomous vehicles (CAV), the CAV
carfollowing model is studied. By considering electronic throttle angle feedbacks from …

This paper proposes an improved intelligent driver model (IDM) by considering the
information of multiple front and rear vehicles to describe the car-following behaviour of …

The machine learning-based car-following models are widely adopted to control the
longitudinal movements of automated vehicles, such as Google Car and Apple Car, by …

Connected vehicle (CV) technologies are changing the form of traditional traffic models. In
the CV driving environment, abundant and accurate information is available to vehicles …

Stability is a critical issue of traffic dynamics to decode disturbance propagation and to avoid
traffic fluctuation or congestion. This research, based on a simplified linear CFM with desired …

In this paper, a novel two-lane car-following model considering driver's visual effect is
proposed. Changes in driver behaviour are directly stimulated from visual information and …

The connected and automated vehicles (CAVs) technologies provide more information to
drivers in the car-following (CF) process. Unlike the human-driven vehicles (HVs), which …