Anomaly Detection for Road Traffic: A Visual Analytics Framework.

IEEE Transactions on Intelligent Transportation Systems(2017)

引用 70|浏览11
暂无评分
摘要
The analysis of large amounts of multidimensional road traffic data for anomaly detection is a complex task. Visual analytics can bridge the gap between computational and human approaches to detecting anomalous behavior in road traffic, making the data analysis process more transparent. In this paper, we present a visual analytics framework that provides support for: 1) the exploration of multidim...
更多
查看译文
关键词
Roads,Data visualization,Data models,Accidents,Visual analytics,Vehicles,Data mining
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要