The application of Support Vector Machines (SVM) for traffic condition prediction using ITS data

Dazhi Sun; Qixing Wang; Xinguo Jiang

doi:10.1061/41123(383)83

The application of Support Vector Machines (SVM) for traffic condition prediction using ITS data

Dazhi Sun, Qixing Wang, Xinguo Jiang

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

3 Scopus citations

Abstract

This paper introduced a pilot implementation of Support Vectors Machine (SVM), a new machine learning algorithm, for traffic condition prediction utilizing the data collected in traffic management center. A SVM ^python based Level of Service Prediction System (LOS-PS) was developed in this study. ITS data collected from Transguide program in San Antonio, Texas were utilized to implement the proposed LOS-PS system in the case study of this paper.

Original language	English
Title of host publication	Traffic and Transportation Studies 2010 - Proceedings of the 7th International Conference on Traffic and Transportation Studies
Pages	882-890
Number of pages	9
DOIs	https://doi.org/10.1061/41123(383)83
State	Published - 2010
Externally published	Yes
Event	7th International Conference on Traffic and Transportation Studies, (ICTTS 2010) - Kunming, China Duration: Aug 3 2010 → Aug 5 2010

Publication series

Name	Proceedings of the Conference on Traffic and Transportation Studies, ICTTS
Volume	383

Conference

Conference	7th International Conference on Traffic and Transportation Studies, (ICTTS 2010)
Country/Territory	China
City	Kunming
Period	08/3/10 → 08/5/10

Keywords

Data mining
Level of Service Prediction
Support vector machine

Access to Document

10.1061/41123(383)83

Cite this

Sun, D., Wang, Q., & Jiang, X. (2010). The application of Support Vector Machines (SVM) for traffic condition prediction using ITS data. In Traffic and Transportation Studies 2010 - Proceedings of the 7th International Conference on Traffic and Transportation Studies (pp. 882-890). (Proceedings of the Conference on Traffic and Transportation Studies, ICTTS; Vol. 383). https://doi.org/10.1061/41123(383)83

@inproceedings{21e196ec9f5e436fb059059673a237cf,

title = "The application of Support Vector Machines (SVM) for traffic condition prediction using ITS data",

abstract = "This paper introduced a pilot implementation of Support Vectors Machine (SVM), a new machine learning algorithm, for traffic condition prediction utilizing the data collected in traffic management center. A SVM python based Level of Service Prediction System (LOS-PS) was developed in this study. ITS data collected from Transguide program in San Antonio, Texas were utilized to implement the proposed LOS-PS system in the case study of this paper.",

keywords = "Data mining, Level of Service Prediction, Support vector machine",

author = "Dazhi Sun and Qixing Wang and Xinguo Jiang",

year = "2010",

doi = "10.1061/41123(383)83",

language = "English",

isbn = "9780784411230",

series = "Proceedings of the Conference on Traffic and Transportation Studies, ICTTS",

pages = "882--890",

booktitle = "Traffic and Transportation Studies 2010 - Proceedings of the 7th International Conference on Traffic and Transportation Studies",

note = "7th International Conference on Traffic and Transportation Studies, (ICTTS 2010) ; Conference date: 03-08-2010 Through 05-08-2010",

}

Sun, D, Wang, Q & Jiang, X 2010, The application of Support Vector Machines (SVM) for traffic condition prediction using ITS data. in Traffic and Transportation Studies 2010 - Proceedings of the 7th International Conference on Traffic and Transportation Studies. Proceedings of the Conference on Traffic and Transportation Studies, ICTTS, vol. 383, pp. 882-890, 7th International Conference on Traffic and Transportation Studies, (ICTTS 2010), Kunming, China, 08/3/10. https://doi.org/10.1061/41123(383)83

The application of Support Vector Machines (SVM) for traffic condition prediction using ITS data. / Sun, Dazhi; Wang, Qixing; Jiang, Xinguo.
Traffic and Transportation Studies 2010 - Proceedings of the 7th International Conference on Traffic and Transportation Studies. 2010. p. 882-890 (Proceedings of the Conference on Traffic and Transportation Studies, ICTTS; Vol. 383).

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

TY - GEN

T1 - The application of Support Vector Machines (SVM) for traffic condition prediction using ITS data

AU - Sun, Dazhi

AU - Wang, Qixing

AU - Jiang, Xinguo

PY - 2010

Y1 - 2010

N2 - This paper introduced a pilot implementation of Support Vectors Machine (SVM), a new machine learning algorithm, for traffic condition prediction utilizing the data collected in traffic management center. A SVM python based Level of Service Prediction System (LOS-PS) was developed in this study. ITS data collected from Transguide program in San Antonio, Texas were utilized to implement the proposed LOS-PS system in the case study of this paper.

AB - This paper introduced a pilot implementation of Support Vectors Machine (SVM), a new machine learning algorithm, for traffic condition prediction utilizing the data collected in traffic management center. A SVM python based Level of Service Prediction System (LOS-PS) was developed in this study. ITS data collected from Transguide program in San Antonio, Texas were utilized to implement the proposed LOS-PS system in the case study of this paper.

KW - Data mining

KW - Level of Service Prediction

KW - Support vector machine

UR - https://www.scopus.com/pages/publications/77958048732

U2 - 10.1061/41123(383)83

DO - 10.1061/41123(383)83

M3 - Conference contribution

AN - SCOPUS:77958048732

SN - 9780784411230

T3 - Proceedings of the Conference on Traffic and Transportation Studies, ICTTS

SP - 882

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BT - Traffic and Transportation Studies 2010 - Proceedings of the 7th International Conference on Traffic and Transportation Studies

T2 - 7th International Conference on Traffic and Transportation Studies, (ICTTS 2010)

Y2 - 3 August 2010 through 5 August 2010

ER -

Sun D, Wang Q, Jiang X. The application of Support Vector Machines (SVM) for traffic condition prediction using ITS data. In Traffic and Transportation Studies 2010 - Proceedings of the 7th International Conference on Traffic and Transportation Studies. 2010. p. 882-890. (Proceedings of the Conference on Traffic and Transportation Studies, ICTTS). doi: 10.1061/41123(383)83

The application of Support Vector Machines (SVM) for traffic condition prediction using ITS data

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Publication series

Conference

Keywords

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