Interrupted and uninterrupted lane changes: a microscopic outlook of lane-changing dynamics

Field observations suggest that the Lane-Changing (LC) processes are often interrupted by surrounding vehicles. Understanding these intermediate interruptions and evasive behavior during an LC is necessary for developing realistic simulation tools, collision-warning systems, human-like in self-driving However, identifying classifying into (ILC) uninterrupted (ULC) not straightforward. This study proposes a methodology automatic identification classification of events. Further, we highlighted characteristic differences between ILC ULC comparing their duration, crash likelihood, driver discomfort. The duration exposure, severity crashes were captured using surrogate safety measures such as Anticipated Collision Time (ACT), Time-Exposed ACT (TE-ACT), Time-Integrated (TI-ACT). driver's discomfort was measured acceleration noise number sign inversions profile. Kruskal–Wallis–ANOVA test on above attributes sensitivity analysis models confirm characteristically different.