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 …

There is a dilemma regarding the accuracy and reality of vehicle trajectory prediction.
Balancing and predicting the effective trajectory is a topic of debate in autonomous driving …

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 …

Vehicle trajectory prediction tasks have been commonly tackled from two distinct
perspectives: either with knowledge-driven methods or more recently with data-driven ones …

Adaptive cruise control (ACC) vehicles are proving to be the first generation of driver-assist
enabled vehicles. In order to study the impacts of ACC vehicles on string stability and traffic …

Uphill and downhill roads are prevalent in mountainous areas and freeways. Despite the
advancements of vehicle-to-vehicle (V2V) communication technology, the driving field of …

Based on the full velocity difference model, a new car-following model is developed to
investigate the effect of short-term driving memory on traffic flow in this paper. Short-term …

To reduce the fuel consumption caused by the acceleration or deceleration, many drivers
wish to drive cars as smoothly as possible, which means that driving behavior is influenced …

Trajectory forecasting plays a pivotal role in the field of intelligent vehicles or social robots.
Recent works focus on modeling spatial social impacts or temporal motion attentions, but …

To understand traffic behavior, we require a thorough knowledge of traffic stream
parameters and their mutual relationships. This relationship between the traffic parameters …