重庆大学学报2024，Vol.47Issue(11)：37-50,14.DOI:10.11835/j.issn.1000-582X.2023.111
基于高速公路场景的换道驾驶行为研究
Highway lane-changing behavior:a data-driven analysis of driver intentions
摘要
Abstract
Understanding human driving behaviors has significant implications for promoting decision-making in intelligent vehicles and improving driving safety.This study focuses on highway lane-changing behavior,using the NGSIM(Next Generation Simulation)Dataset to extract key parameters and analyze the correlation between these parameters and driving behaviors.A GMM-HMM-based model for lane-changing intention recognition was developed,achieving an accuracy of 95.6%in predicting lane changes 1.0 s before they occur,and an accuracy of over 80%in recognizing lane-changing intentions.This model can be applied to intelligent vehicle design to effectively reduce lane-changing risks and improve driving safety.关键词
驾驶员特性/换道行为分析/NGSIM/驾驶安全Key words
driver characteristics/lane-changing behavior analysis/NGSIM(Next Generation Simulation)/driving safety分类
交通工程引用本文复制引用
杨崇辉,郑玲,左益芳,王勘,曾杰,丁雪聪..基于高速公路场景的换道驾驶行为研究[J].重庆大学学报,2024,47(11):37-50,14.基金项目
国家自然科学基金资助项目(51875061). Supported by National Natural Science Foundation of China(51875061). （51875061）
