Concept drift modeling for robust autonomous vehicle control systems in time-varying traffic environments

作者：

Highlights：

• We propose a concept drift modeling framework for a robust vehicle control system.

• The proposed framework combines a drift-adaptation technique with a drift detector.

• The proposed drift detection algorithm can detect actual changes in traffic conditions.

• The proposed framework is useful to achieve adaptive traffic congestion prediction.

摘要

•We propose a concept drift modeling framework for a robust vehicle control system.•The proposed framework combines a drift-adaptation technique with a drift detector.•The proposed drift detection algorithm can detect actual changes in traffic conditions.•The proposed framework is useful to achieve adaptive traffic congestion prediction.

论文关键词：Concept drift learning,Time-varying environments,Autonomous vehicle systems,Traffic control,Automated material handling systems

论文评审过程：Received 12 September 2020, Revised 13 October 2021, Accepted 6 November 2021, Available online 18 November 2021, Version of Record 24 November 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116206