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Conference paper
Chaotic structure test and predictability analysis on traffic time series in the city of Istanbul
International Interdisciplinary Chaos Symposium on Chaos and Complex Systems, 3rd ( Istanbul, Turkey, 05/21/2010–05/24/2010)
2010
Abstract
Empirical studies suggest that traffic flow generally exhibits irregular and complex behavior. Modeling of traffic flow characteristics is difficult and needs new techniques. In this study, we analyzed chaotic structure in traffic time series data collected from an urban arterial in Istanbul over a period of about 1 week. Nonlinear techniques (correlation dimension and metric entropy) are used to identify chaotic structure. After detecting chaotic characteristics, the predictability of time series data was examined. It is found that the traffic flow at the main road of lkitelli - Mahmutbey location displayed a periodicity close to 24 hrs, and a 100 minute long prediction interval which is indicative of low dimensional chaos as found from the computed metric entropy. Traffic time series data included speed, occupancy rates, and volume at each lane on the main road of lkitelli - Mahmutbey on the European side.
Details
- Title
- Chaotic structure test and predictability analysis on traffic time series in the city of Istanbul
- Resource Type
- Conference paper
- Conference
- International Interdisciplinary Chaos Symposium on Chaos and Complex Systems, 3rd ( Istanbul, Turkey, 05/21/2010–05/24/2010)
- Format
- pdf
- Number of pages
- 10
- Copyright
- Permission granted to the University of West Florida Libraries by the author to digitize and/or display this information for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires the permission of the copyright holder.
- Identifiers
- 99380090341406600
- Academic Unit
- Intelligent Systems and Robotics
- Language
- English