Non-recurrent congestion analysis using data-driven spatiotemporal approach for information construction
详细信息 查看全文
- 作者：Zhuo Chena ; Xiaoyue Cathy Liua ; cathy.liu@utah.edu" class="auth_mail" title="E-mail the corresponding author ; Guohui Zhangb
- 关键词：Incident ; Congestion ; Information extraction ; Spatiotemporal ; Delay
- 刊名：Transportation Research Part C: Emerging Technologies
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：71
- 期：Complete
- 页码：19-31
- 全文大小：1780 K
文摘
- •
We perform a data-driven method for Incident-Induced Delay on freeway corridor.
- •
We apply spatiotemporal clustering analysis for secondary incident and IID estimation.
- •
We develop a pattern matching algorithm to estimate the recurrent congestion.
- •
The algorithm is transferable to any similar system for incident management.