Locality constraint distance metric learning for traffic congestion detection

作者：

Highlights：

• Propose a locality constraint metric learning for congestion detection.

• Present an accurate and unified definition of congestion.

• Assemble a new data set to serve as the platform for congestion detection.

摘要

•Propose a locality constraint metric learning for congestion detection.•Present an accurate and unified definition of congestion.•Assemble a new data set to serve as the platform for congestion detection.

论文关键词：Distance metric learning,Locality constraint,Kernel regression,Traffic congestion analysis

论文评审过程：Received 14 November 2016, Revised 21 January 2017, Accepted 24 March 2017, Available online 29 March 2017, Version of Record 21 November 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.03.030