Context-aware similarity measurement of lane-changing trajectories

作者：

Highlights：

• The comprehensive estimation of the similarity of lane changing trajectories.

• By employing DTW, the similarities of multi-dimensional trajectories were estimated.

• The similarities were evaluated using the internal/external contexts weighted.

• The historical data underwent similarity evaluation for the prediction of positions.

摘要

•The comprehensive estimation of the similarity of lane changing trajectories.•By employing DTW, the similarities of multi-dimensional trajectories were estimated.•The similarities were evaluated using the internal/external contexts weighted.•The historical data underwent similarity evaluation for the prediction of positions.

论文关键词：Lane changing,Similarity measurement,Dynamic time warping,LC trajectory,Context,Position prediction

论文评审过程：Received 26 April 2022, Revised 8 July 2022, Accepted 24 July 2022, Available online 29 July 2022, Version of Record 2 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118289