Computer vision-guided intelligent traffic signaling for isolated intersections
作者：
Highlights：
• Representation of moving objects in the form of temporal clusters.
• A faster inference scheme for temporal clustering.
• Occlusion handling incorporated in the inference scheme.
• Traffic phase duration prediction considering spatial occupancy of vehicles on road.
• Intelligent traffic signaling that optimize throughput and average waiting time.
摘要
•Representation of moving objects in the form of temporal clusters.•A faster inference scheme for temporal clustering.•Occlusion handling incorporated in the inference scheme.•Traffic phase duration prediction considering spatial occupancy of vehicles on road.•Intelligent traffic signaling that optimize throughput and average waiting time.
论文关键词：Traffic signal timing,Isolated intersections,Unsupervised machine learning,Dirichlet process mixture model,Visual surveillance
论文评审过程：Received 26 March 2019, Revised 11 May 2019, Accepted 29 May 2019, Available online 30 May 2019, Version of Record 10 June 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.05.049
