Chenqiang Zhu

Modeling Discretionary Lane-Changing Decisions: A Multi-Vehicle Information Enhanced Machine Learning Approach

Chenqiang Zhu, Jiao Yao, Ayihen Aernali

Accurately predicting human lane-changing (LC) decisions is critical for enhancing the safety and efficiency of autonomous driving. Most existing machine learning-based LC decision models rely on immediate neighboring vehicle interaction features, which may fail to capture driver…Read more