inferring the root cause in road traffic anomalies | |
Chawla Sanjay ; Zheng Yu ; Hu Jiafeng | |
2012 | |
会议名称 | 12th IEEE International Conference on Data Mining, ICDM 2012 |
会议日期 | December 10, 2012 - December 13, 2012 |
会议地点 | Brussels, Belgium |
关键词 | Data mining Inverse problems |
页码 | 141-150 |
中文摘要 | We propose a novel two-step mining and optimization framework for inferring the root cause of anomalies that appear in road traffic data. We model road traffic as a time-dependent flow on a network formed by partitioning a city into regions bounded by major roads. In the first step we identify link anomalies based on their deviation from their historical traffic profile. However, link anomalies on their own shed very little light on what caused them to be anomalous. In the second step we take a generative approach by modeling the flow in a network in terms of the origin-destination (OD) matrix which physically relates the latent flow between origin and destination and the observable flow on the links. The key insight is that instead of using all of link traffic as the observable vector we only use the link anomaly vector. By solving an L |
英文摘要 | We propose a novel two-step mining and optimization framework for inferring the root cause of anomalies that appear in road traffic data. We model road traffic as a time-dependent flow on a network formed by partitioning a city into regions bounded by major roads. In the first step we identify link anomalies based on their deviation from their historical traffic profile. However, link anomalies on their own shed very little light on what caused them to be anomalous. In the second step we take a generative approach by modeling the flow in a network in terms of the origin-destination (OD) matrix which physically relates the latent flow between origin and destination and the observable flow on the links. The key insight is that instead of using all of link traffic as the observable vector we only use the link anomaly vector. By solving an L |
收录类别 | EI |
会议录 | Proceedings - IEEE International Conference on Data Mining, ICDM
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语种 | 英语 |
ISSN号 | 1550-4786 |
ISBN号 | 9780769549057 |
内容类型 | 会议论文 |
源URL | [http://ir.iscas.ac.cn/handle/311060/15914] ![]() |
专题 | 软件研究所_软件所图书馆_会议论文 |
推荐引用方式 GB/T 7714 | Chawla Sanjay,Zheng Yu,Hu Jiafeng. inferring the root cause in road traffic anomalies[C]. 见:12th IEEE International Conference on Data Mining, ICDM 2012. Brussels, Belgium. December 10, 2012 - December 13, 2012. |
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