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篇目详细内容 |
【篇名】 |
How many probe vehicles are enough for identifying traffic congestion?—a study from a streaming data perspective |
【刊名】 |
Frontiers of Earth Science |
【刊名缩写】 |
Front. Earth Sci |
【ISSN】 |
2095-0195 |
【EISSN】 |
2095-0209 |
【DOI】 |
10.1007/s11707-012-0343-x |
【出版社】 |
Higher Education Press and Springer-Verlag Berlin
Heidelberg |
【出版年】 |
2013 |
【卷期】 |
7
卷1期 |
【页码】 |
34-42
页,共
9
页 |
【作者】 |
Handong WANG;
Yang YUE;
Qingquan LI;
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【关键词】 |
vehicle trajectory data; floating car data; streaming data; traffic congestion |
【摘要】 |
Many studies have been carried out using vehicle trajectory to analyze traffic conditions, for instance, identifying traffic congestion. However, there is a lack of a systematic study on the appropriate number of probe vehicles and their sampling interval in order to identify traffic congestion accurately. Moreover, most of related studies ignore the streaming feature of trajectory data. This paper first represents a novel method of identifying traffic congestion considering the stream feature of vehicle trajectories. Instead of processing the whole data stream, a series of snapshots are extracted. Congested road segments can be identified by analyzing the clusters’ evolution among a series of adjacent snapshots. We then calculated a series of parameters and their corresponding congestion identification accuracy. The results have implications for related probe vehicle deployment and traffic analysis; for example, when 5% of probe vehicles are available, 85% identification accuracy can be reached if the sampling time interval is 10?s. |
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