Transition Characteristic Analysis of Traffic Evolution Process for Urban Traffic Network
Joint Authors
Chen, Hong
Li, Yang
Wang, Long-Fei
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-27
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The characterization of the dynamics of traffic states remains fundamental to seeking for the solutions of diverse traffic problems.
To gain more insights into traffic dynamics in the temporal domain, this paper explored temporal characteristics and distinct regularity in the traffic evolution process of urban traffic network.
We defined traffic state pattern through clustering multidimensional traffic time series using self-organizing maps and construct a pattern transition network model that is appropriate for representing and analyzing the evolution progress.
The methodology is illustrated by an application to data flow rate of multiple road sections from Network of Shenzhen’s Nanshan District, China.
Analysis and numerical results demonstrated that the methodology permits extracting many useful traffic transition characteristics including stability, preference, activity, and attractiveness.
In addition, more information about the relationships between these characteristics was extracted, which should be helpful in understanding the complex behavior of the temporal evolution features of traffic patterns.
American Psychological Association (APA)
Wang, Long-Fei& Chen, Hong& Li, Yang. 2014. Transition Characteristic Analysis of Traffic Evolution Process for Urban Traffic Network. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050292
Modern Language Association (MLA)
Wang, Long-Fei…[et al.]. Transition Characteristic Analysis of Traffic Evolution Process for Urban Traffic Network. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1050292
American Medical Association (AMA)
Wang, Long-Fei& Chen, Hong& Li, Yang. Transition Characteristic Analysis of Traffic Evolution Process for Urban Traffic Network. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050292
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050292