With the gradual development of autonomous driving and connected communication
technology, urban road networks will be shared by a combination of Human-driven vehicles …

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 …

Abundant real-time vehicle trajectory information provides an important guarantee for the
driving safety and drivers' decision-making in the intelligent transportation system (ITS) …

It has been well recognized that human driver's limits, heterogeneity, and selfishness
substantially compromise the performance of our urban transport systems. In recent years, in …

The advancements in communication and sensing technologies can be exploited to assist
the drivers in making better decisions. In this paper, we consider the design of a real-time …

The emergence of Connected and Automated Vehicles (CAVs) promises better traffic
mobility for future transportation systems. Existing research mostly focused on fully …

Car-following is a control process in which a following vehicle adjusts its acceleration to
keep a safe distance from the lead vehicle. Recently, there has been a booming of data …

Previous empirical behavior analysis on Autonomous Vehicles (AV) mainly focused on
vehicles with Adaptive Cruise Control (ACC) system due to the lack of high-level AV dataset …

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 …

Gyroidal roads are not uncommon on mountainous freeways. In the provision of complex
road information such as visual field and slope, some errors between the perceived …