most citedLC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models

61 citations · 80 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024★ 1 cited

MetaFollower: Adaptable Personalized Autonomous Car Following

Xianda Chen, Kehua Chen, Meixin Zhu +5

Car-following (CF) modeling, a fundamental component in microscopic traffic simulation, has attracted increasing interest of researchers in the past decades. In this study, we prop…

cs.AI2024★ 61 cited

LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models

Mingxing Peng, Xusen Guo, Xianda Chen +2

To ensure safe driving in dynamic environments, autonomous vehicles should possess the capability to accurately predict lane change intentions of surrounding vehicles in advance an…

cs.CE2023★ 15 cited

AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model

Lening Wang, Yilong Ren, Han Jiang +9

Traffic accidents, being a significant contributor to both human casualties and property damage, have long been a focal point of research for many scholars in the field of traffic…

cs.LG2023

Data-driven Traffic Simulation: A Comprehensive Review

Di Chen, Meixin Zhu, Hao Yang +2

Autonomous vehicles (AVs) have the potential to significantly revolutionize society by providing a secure and efficient mode of transportation. Recent years have witnessed notable…

cs.RO2023★ 3 cited

BEVGPT: Generative Pre-trained Large Model for Autonomous Driving Prediction, Decision-Making, and Planning

Pengqin Wang, Meixin Zhu, Hongliang Lu +5

Prediction, decision-making, and motion planning are essential for autonomous driving. In most contemporary works, they are considered as individual modules or combined into a mult…