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原文传递 New Framework for Automatic Identification and Quantification of Freeway Bottlenecks Based on Wavelet Analysis
题名: New Framework for Automatic Identification and Quantification of Freeway Bottlenecks Based on Wavelet Analysis
其他题名: Addison,P.S.2002.The illustrated wavelet handbook:Applications in science,engineering,medicine and finance.Boca Raton,FL:CRC Press.
正文语种: 英文
作者: Ruimin Ke
关键词: bottleneck;identification;framework;wavelet;quantification;applications;breakdown;processing;scenarios;transport
摘要: As the amount of traffic congestion continues to grow, pinpointing freeway bottleneck locations and quantifying their impacts are crucial activities for traffic management and control. Among the previous bottleneck identification methods, limitations still exist. The first key limitation is that they cannot determine precise breakdown durations at a bottleneck in an objective manner. Second, the input data often needs to be aggregated in an effort to ensure better robustness to noise, which will significantly reduce the time resolution.Wavelet transform, as a powerful and efficient data-processing tool, has already been implemented in some transportation application scenarios to much benefit. However, there is still a wide gap between existing preliminary explorations of wavelet analysis in transportation research and a completely automatic bottleneck identification framework. This paper addresses several key issues in existing bottleneck identification approaches and also fills a gap in transportation-related wavelet applications. The experimental results demonstrate that the proposed method is able to locate the most severe bottlenecks and comprehensively quantify their impacts.
出版年: 2018
论文唯一标识: P-72Y2018V144N09004
英文栏目名称: TECHNICAL PAPERS
doi: 10.1061/JTEPBS.0000168
期刊名称: Journal of Transportation Engineering
拼音刊名(出版物代码): P-72
卷: 144
期: 09
页码: 13-22
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