Investigating Drivers’ Heterogeneity and Its Impacts on Interactive Lane-Changing Maneuvers
This paper investigates the impacts of driving-style heterogeneity on safety, interaction efficiency, and comfort in discretionary and mandatory lane-changing interaction scenarios. Leveraging two naturalistic driving datasets, highD and exiD, complete lane-changing interactions are extracted through data processing, a...