A Novel Multisensor Traffic State Assessment System Based on Incomplete Data
Joint Authors
Lan, Jinhui
Zeng, Yiliang
Ran, Bin
Jiang, Yaoliang
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-04
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
A novel multisensor system with incomplete data is presented for traffic state assessment.
The system comprises probe vehicle detection sensors, fixed detection sensors, and traffic state assessment algorithm.
First of all, the validity checking of the traffic flow data is taken as preprocessing of this method.
And then a new method based on the history data information is proposed to fuse and recover the incomplete data.
According to the characteristics of space complementary of data based on the probe vehicle detector and fixed detector, a fusion model of space matching is presented to estimate the mean travel speed of the road.
Finally, the traffic flow data include flow, speed and, occupancy rate, which are detected between Beijing Deshengmen bridge and Drum Tower bridge, are fused to assess the traffic state of the road by using the fusion decision model of rough sets and cloud.
The accuracy of experiment result can reach more than 98%, and the result is in accordance with the actual road traffic state.
This system is effective to assess traffic state, and it is suitable for the urban intelligent transportation system.
American Psychological Association (APA)
Zeng, Yiliang& Lan, Jinhui& Ran, Bin& Jiang, Yaoliang. 2014. A Novel Multisensor Traffic State Assessment System Based on Incomplete Data. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1050001
Modern Language Association (MLA)
Zeng, Yiliang…[et al.]. A Novel Multisensor Traffic State Assessment System Based on Incomplete Data. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1050001
American Medical Association (AMA)
Zeng, Yiliang& Lan, Jinhui& Ran, Bin& Jiang, Yaoliang. A Novel Multisensor Traffic State Assessment System Based on Incomplete Data. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1050001
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050001