Car-following (CF) algorithms are crucial components of traffic simulations and have been
integrated into many production vehicles equipped with Advanced Driving Assistance …

Abstract Car-following (CF) modeling, a fundamental component in microscopic traffic
simulation, has attracted increasing research interest in recent decades. In this study, we …

Accurate modeling of car-following behaviors is crucial for autonomous driving systems.
While recent advancements in large language models (LLMs) have shown promise in …

In the realm of driving technologies, fully autonomous vehicles have not been widely
adopted yet, making advanced driver assistance systems (ADAS) crucial for enhancing …

With the evolution of technologies related to automated vehicles (AVs), vehicles with
automation are increasingly approaching large-scale deployment nowadays. This research …

Multimodal synchronization has become the research highlight of the ITS, where complex
driving scenarios, various types of vehicles and diverse data sources are crucial …

Car-following is the most common driving scenario where a following vehicle follows a lead
vehicle in the same lane. One crucial factor of car-following behavior is driving style which …

Autonomous driving technology has made significant strides, with reinforcement learning
(RL) proving crucial due to its superior decision-making capabilities. However, designing …

Efficient speed planning is crucial for the safe and comfortable navigation of autonomous
vehicles in dynamic environments. This paper introduces a novel energy-efficient, jerk …

Car-following behavior is the most fundamental and common driving behavior and is crucial
for road safety and traffic efficiency. Traffic flow dynamics are greatly affected by this …