Influence of Cut-In Maneuvers for an Autonomous Car on Surrounding Drivers: Experiment and Analysis

Chunqing Zhao, Wenshuo Wang, Shaopeng Li, Jianwei Gong*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

To safely and efficiently change lanes among human drivers, autonomous vehicles (AVs) should make human-like decisions and seamlessly cooperate with surrounding vehicles. Both overaggressive and over-conservative cut-in maneuvers will have adverse effects on traffic efficiency and safety. However, it is still not entirely clear how much influence of the AV's cut-in behavior would lay on the surrounding drivers in urban traffic. To investigate this question, we design a series of driving scenarios and analyze the impact of different cut-in maneuvers performed by the human-like AV on the surrounding drivers' comfort. Ten volunteer drivers participate in our experiment and take a series of trials in a driving simulator. The experimental results demonstrate that the relative distance between the AV and the target car on the adjacent lane has a more significant effect on the surrounding drivers' comfort than the relative speed does. In addition, different parameters should be considered with different cut-in scenarios. This conclusion could provide practical support to make a friendly cut-in decision for the AVs.

Original languageEnglish
Article number8715668
Pages (from-to)2266-2276
Number of pages11
JournalIEEE Transactions on Intelligent Transportation Systems
Volume21
Issue number6
DOIs
Publication statusPublished - Jun 2020

Keywords

  • Autonomous vehicle
  • cut-in behavior
  • driving comfort
  • human drivers

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