Traffic flow time series analysis based on the three-phase traffic theory

Hang Yu; Shi An

doi:10.1007/978-3-642-31968-6_73

Traffic flow time series analysis based on the three-phase traffic theory

Hang Yu^*
, Shi An

^*Corresponding author for this work

School of Management

School of Management, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The string oscillation equation is proposed to model the pattern of traffic flow time series, based on three-phase traffic theory. Traffic flow time series analysis has many applications to various areas, such as intelligent transportation, signal control, routing guidance, and traffic safety. Traffic flow pattern recognition is focused under the transition between the three traffic flow phases. For this purpose, traffic flow status features are described in every phase and used for traffic flow model fitting as an empirical premise. The results demonstrate that traffic flow status pattern can be correctly recognized in 87 percent of situations using the presented equation.

Original language	English
Title of host publication	Communications and Information Processing - International Conference, ICCIP 2012, Revised Selected Papers
Pages	616-624
Number of pages	9
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-31968-6_73
State	Published - 2012
Event	2012 International Conference on Communications and Information Processing, ICCIP 2012 - Aveiro, Portugal Duration: 7 Mar 2012 → 11 Mar 2012

Publication series

Name	Communications in Computer and Information Science
Number	PART 2
Volume	289 CCIS
ISSN (Print)	1865-0929

Conference

Conference	2012 International Conference on Communications and Information Processing, ICCIP 2012
Country/Territory	Portugal
City	Aveiro
Period	7/03/12 → 11/03/12

Keywords

string oscillation equation
three-phase traffic theory
time series analysis
traffic flow

Access to Document

10.1007/978-3-642-31968-6_73

Cite this

@inproceedings{17e415cd45784de5b90c1079b33e4ce3,

title = "Traffic flow time series analysis based on the three-phase traffic theory",

abstract = "The string oscillation equation is proposed to model the pattern of traffic flow time series, based on three-phase traffic theory. Traffic flow time series analysis has many applications to various areas, such as intelligent transportation, signal control, routing guidance, and traffic safety. Traffic flow pattern recognition is focused under the transition between the three traffic flow phases. For this purpose, traffic flow status features are described in every phase and used for traffic flow model fitting as an empirical premise. The results demonstrate that traffic flow status pattern can be correctly recognized in 87 percent of situations using the presented equation.",

keywords = "string oscillation equation, three-phase traffic theory, time series analysis, traffic flow",

author = "Hang Yu and Shi An",

year = "2012",

doi = "10.1007/978-3-642-31968-6\_73",

language = "英语",

isbn = "9783642319679",

series = "Communications in Computer and Information Science",

number = "PART 2",

pages = "616--624",

booktitle = "Communications and Information Processing - International Conference, ICCIP 2012, Revised Selected Papers",

edition = "PART 2",

note = "2012 International Conference on Communications and Information Processing, ICCIP 2012 ; Conference date: 07-03-2012 Through 11-03-2012",

}

Yu, H & An, S 2012, Traffic flow time series analysis based on the three-phase traffic theory. in Communications and Information Processing - International Conference, ICCIP 2012, Revised Selected Papers. PART 2 edn, Communications in Computer and Information Science, no. PART 2, vol. 289 CCIS, pp. 616-624, 2012 International Conference on Communications and Information Processing, ICCIP 2012, Aveiro, Portugal, 7/03/12. https://doi.org/10.1007/978-3-642-31968-6_73

Traffic flow time series analysis based on the three-phase traffic theory. / Yu, Hang; An, Shi.
Communications and Information Processing - International Conference, ICCIP 2012, Revised Selected Papers. PART 2. ed. 2012. p. 616-624 (Communications in Computer and Information Science; Vol. 289 CCIS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Yu, Hang

AU - An, Shi

PY - 2012

Y1 - 2012

N2 - The string oscillation equation is proposed to model the pattern of traffic flow time series, based on three-phase traffic theory. Traffic flow time series analysis has many applications to various areas, such as intelligent transportation, signal control, routing guidance, and traffic safety. Traffic flow pattern recognition is focused under the transition between the three traffic flow phases. For this purpose, traffic flow status features are described in every phase and used for traffic flow model fitting as an empirical premise. The results demonstrate that traffic flow status pattern can be correctly recognized in 87 percent of situations using the presented equation.

AB - The string oscillation equation is proposed to model the pattern of traffic flow time series, based on three-phase traffic theory. Traffic flow time series analysis has many applications to various areas, such as intelligent transportation, signal control, routing guidance, and traffic safety. Traffic flow pattern recognition is focused under the transition between the three traffic flow phases. For this purpose, traffic flow status features are described in every phase and used for traffic flow model fitting as an empirical premise. The results demonstrate that traffic flow status pattern can be correctly recognized in 87 percent of situations using the presented equation.

KW - string oscillation equation

KW - three-phase traffic theory

KW - time series analysis

KW - traffic flow

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DO - 10.1007/978-3-642-31968-6_73

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SN - 9783642319679

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Y2 - 7 March 2012 through 11 March 2012

ER -

Traffic flow time series analysis based on the three-phase traffic theory

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Keywords

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