山东理工大学学报（自然科学版）2026，Vol.40Issue(5)：1-8,8.
交通震荡传播与驾驶行为关系的仿真研究
Simulation study on the relationship between traffic shock propagation and driving behavior
摘要
Abstract
A mixed traffic flow scenario was constructed using the SUMO simulation platform.Aggressive,stable,and conservative human drivers,along with adaptive cruise control(ACC)vehicles,were defined through a parameterized approach,by which a large dataset of unexpected events and their impact ranges was generated.A LightGBM classification model was then constructed,with road-segment traffic flow parameters and the proportion of different vehicle types in the platoon behind the incident used as input features to predict the impact range of unexpected events.The contribution of each feature to the model's predictions and the underlying mechanisms were revealed using the SHAP method.The results showed that the proportion of aggressive drivers in the following platoon was the most important factor in determining the impact range of an event.The proportion of ACC vehicles exhibited a complex nonlinear effect,and under certain conditions,particularly when the proportion of aggressive drivers was high,it was shown to actually increase the risk of high-impact events.These results confirm that in mixed traffic flows,the microscopic composition of driving behavior,particularly the distribution of risk preferences among drivers in the platoon,is the primary factor determining traffic flow stability.关键词
混合交通流/交通波/急减速/机器学习/LightGBM/SHAPKey words
mixed traffic flow/traffic wave/sudden deceleration/machine learning/LightGBM(Light Gradient Boosting Machine)/SHAP(SHapley Additive exPlanations)分类
交通工程引用本文复制引用
高心仪,薛培友,熊晓夏,方凯瑞..交通震荡传播与驾驶行为关系的仿真研究[J].山东理工大学学报（自然科学版）,2026,40(5):1-8,8.基金项目
安徽省普通高校交通信息与安全重点实验室开放课题资助项目(JTX202504) （JTX202504）
