Genfollower: Enhancing car-following prediction with large language models
X Chen, M Peng, PH Tiu, Y Wu, J Chen… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Accurate modeling of car-following behaviors is crucial for autonomous driving systems.
While recent advancements in large language models (LLMs) have shown promise in …
While recent advancements in large language models (LLMs) have shown promise in …
Adaptive Cruise Control under threat: A stochastic active safety analysis of sensing attacks in mixed traffic
Mixed traffic environments combining human-driven vehicles (HDVs) and those equipped
with Adaptive Cruise Control (ACC) have already become prevalent. This study tackles the …
with Adaptive Cruise Control (ACC) have already become prevalent. This study tackles the …
Physics Enhanced Residual Policy Learning (PERPL) for safety cruising in mixed traffic platooning under actuator and communication delay
Linear control models have gained extensive application in vehicle control due to their
simplicity, ease of use, and support for stability analysis. However, these models lack …
simplicity, ease of use, and support for stability analysis. However, these models lack …
A Physics Enhanced Residual Learning (PERL) Framework for Autonomous Vehicle
K Long - 2024 - search.proquest.com
Autonomous vehicles (AV) driving in mixed traffic, comprising human-driven vehicles (HVs)
and AVs, is notoriously challenging, underscored by complex driving environments and a …
and AVs, is notoriously challenging, underscored by complex driving environments and a …