Car-following (CF) behavior is a fundamental of traffic flow modeling; it can be used for the
virtual testing of connected and automated vehicles and the simulation of various types of …

Car-following (CF) is the most basic human driving behavior, which is the vital component of
traffic flow theories, traffic simulation, and traffic operation. Over the past decades, numerous …

Many studies have simulated traffic behavior at signalized intersections using various Car‐
Following (CF) models. However, the performance of which CF Model is superior at …

Numerous car-following models have been developed since the 1950s. However, there still
exist many traffic phenomena that cannot be demonstrated using the existing models …

In the past decades, many improved car‐following models based on the full velocity
difference (FVD) model have been developed. But these models do not consider the …

A car-following (CF) model can reproduce various micro traffic phenomena and plays a
crucial role in traffic theory. In this study, we combine Markov theory and a gated recurrent …

The car-following models are the research basis of traffic flow theory and microscopic traffic
simulation. Among the previous work, the theory-driven models are dominant, while the data …

Frequency-domain analysis has been successfully used to (i) predict the amplification of
traffic oscillations along a platoon of vehicles with nonlinear car-following laws and (ii) …

Car-following models have been widely applied and made remarkable achievements in
traffic engineering. However, the traffic micro-simulation accuracy of car-following models in …

This paper proposes a recurrent neural network based microscopic car following model that
is able to accurately capture and predict traffic oscillation. Neural network models have …