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 …

Asymmetric driving behavior is a critical characteristic of human driving behaviors and has a
significant impact on traffic flow. In consideration of the asymmetric driving behavior, this …

This study used microscopic simulation to estimate the effect on highway capacity of varying
market penetrations of vehicles with adaptive cruise control (ACC) and cooperative adaptive …

Stop-and-go traffic is a frequently observed phenomenon in congested highway traffic, but it
has not been accurately modeled in existing traffic models. Car-following models based on …

Car-following is a common driving behavior which has a significant effect on driver safety
and comfort. Although a large number of studies have focused on car-following models for …

Dynamic traffic phenomena, such as hysteresis, stop-and-go traffic, stability, and capacity
drop, have significant implications for traffic safety and congestion. Previous studies have …

Microscopic traffic simulation provides a controllable, repeatable, and efficient testing
environment for autonomous vehicles (AVs). To evaluate AVs' safety performance …

This paper presents a self-learning Support Vector Regression (SVR) approach to
investigate the asymmetric characteristic in car-following and its impacts on traffic flow …

A surrogate safety measure can be used for preventing hazardous roadway events by
evaluating the potential safety risk by using information on the driving environment gathered …

Human-driven vehicles (HVs) amplify naturally occurring perturbations in traffic, leading to
congestion–a major contributor to increased fuel consumption, higher collision risks, and …