An unsupervised learning framework for detecting adaptive cruise control operated vehicles in a vehicle trajectory data

作者：

Highlights：

• An approach to detect Adaptive Cruise Control driven vehicles in trajectory data.

• A new vehicle trajectory dataset that contains ACC driven probe vehicles.

• Improving autonomous vehicle safety by enhancing vehicle movement prediction.

• Improving the effectiveness of traffic management strategies.

摘要

•An approach to detect Adaptive Cruise Control driven vehicles in trajectory data.•A new vehicle trajectory dataset that contains ACC driven probe vehicles.•Improving autonomous vehicle safety by enhancing vehicle movement prediction.•Improving the effectiveness of traffic management strategies.

论文关键词：Vehicle trajectory,Aerial data collection,Automated driving,Advanced driver assistance systems,Clustering

论文评审过程：Received 11 February 2022, Revised 2 July 2022, Accepted 2 July 2022, Available online 9 July 2022, Version of Record 15 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118060