Real Urban Traffic Flow Chaotic Phase Space Study

Phase space reconstruction is the base of chaotic traffic flow prediction. To determine objectively the embedding delay time tau and embedding dimension m of real urban traffic flow time series chaotic phase space, we put forward a new kind of average calculation method. For delay time value, we fir...

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Bibliographic Details
Published in2008 11th International IEEE Conference on Intelligent Transportation Systems pp. 875 - 879
Main Authors Zhang, L.D., Wang, Y. L., Sun, Zh. Q., Pan, J.Sh
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2008
Subjects
auto-correlation function
Autocorrelation
CAO algorithm
Chaos
chaos phase space
chaotic traffic flow
Cities and towns
Computer science
Data processing
Degradation
Delay effects
embedding delay time
embedding dimension
G-P algorithm
Intelligent transportation systems
ITS
Sun
Traffic control
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ISBN9781424421114
142442111X
ISSN2153-0009
DOI10.1109/ITSC.2008.4732547

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Summary:Phase space reconstruction is the base of chaotic traffic flow prediction. To determine objectively the embedding delay time tau and embedding dimension m of real urban traffic flow time series chaotic phase space, we put forward a new kind of average calculation method. For delay time value, we first calculated its value of single day with auto-correlation and improved auto-correlation function, then we averaged seven days' values to degrade error. As to embedding dimension, we studied it with G-P algorithm and CAO algorithm respectively on base of data processing. Last, the method's feasibility was tested by analyzing the chaotic characteristics of Ji'nan city traffic flow and the reference parameters were offered, i.e.tau =14 and m=4.
ISBN:9781424421114
142442111X
ISSN:2153-0009
DOI:10.1109/ITSC.2008.4732547