Why Studying Cut-ins? Comparing Cut-ins and Other Lane Changes Based on Naturalistic Driving Data
<|reference_start|>Why Studying Cut-ins? Comparing Cut-ins and Other Lane Changes Based on Naturalistic Driving Data: Extensive research has been conducted to explore vehicle lane changes, while the study on cut-ins has not received sufficient attention. The existing studies have not addressed the fundamental question of why studying cut-ins is crucial, despite the extensive investigation into lane changes. To tackle this issue, it is important to demonstrate how cut-ins, as a special type of lane change, differ from other lane changes. In this paper, we explore to compare driving characteristics of cut-ins and other lane changes based on naturalistic driving data. The highD dataset is employed to conduct the comparison. We extract all lane-change events from the dataset and exclude events that are not suitable for our comparison. Lane-change events are then categorized into the cut-in events and other lane-change events based on various gap-based rules. Several performance metrics are designed to measure the driving characteristics of the two types of events. We prove the significant differences between the cut-in behavior and other lane-change behavior by using the Wilcoxon rank-sum test. The results suggest the necessity of conducting specialized studies on cut-ins, offering valuable insights for future research in this field.<|reference_end|>
@article{lu2024why,
    title={Why Studying Cut-ins? Comparing Cut-ins and Other Lane Changes Based on
  Naturalistic Driving Data},
    author={Yun Lu, Dejiang Zheng, Rong Su, Avalpreet Singh Brar, Niels de Boer,
  and Yong Liang Guan},
    journal={arXiv preprint arXiv:2402.08289},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.08289},
    primaryClass={eess.SY cs.SY eess.SP}
}