In this paper, we review trajectory data-based traffic flow studies that have been conducted
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …

Over the past decades there has been a considerable development in the modeling of car-
following (CF) behavior as a result of research undertaken by both traffic engineers and …

Freeway traffic safety should be given great attention due to the frequent and serious
consequences that arise from freeway traffic crashes. With the possibility of obtaining high …

The new era of sharing information and “big data” has raised our expectations to make
mobility more predictable and controllable through a better utilization of data and existing …

Traffic waves are phenomena that emerge when the vehicular density exceeds a critical
threshold. Considering the presence of increasingly automated vehicles in the traffic stream …

As one of the innovative technologies of intelligent transportation systems (ITS), Connected
and Autonomous Vehicles (CAVs) have been deployed gradually. Given that there will be a …

The impacts of autonomous vehicles, coupled with greater inter-vehicle and system
connectivity, may be far-reaching on several levels. They entail changes to (1) the demand …

Emerging automated vehicle (AV) technologies are increasingly being deployed around the
world and it is only a matter of time before the transportation landscape changes …

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 …

This paper proposes a stochastic model for mixed traffic flow with human-driven vehicles
(HVs) and automated vehicles (AVs). The model is formulated in Lagrangian coordinates …