Combined Dense Urban Traffic Surveillance and Principal Component Analysis for Intelligent Transportation Systems

Anandkumar Balasubramaniam; Anand Paul; Fatemeh Afghah

doi:10.1109/TENCON.2019.8929589

Combined Dense Urban Traffic Surveillance and Principal Component Analysis for Intelligent Transportation Systems

Anandkumar Balasubramaniam, Anand Paul, Fatemeh Afghah

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

2 Scopus citations

Abstract

In parallel to the recent technological advancements and developments, there is a consistent development in the field of Intelligent Transportation Systems (ITS). Though advancements are considered in one side, there is also a negative side of increased road-accidents, traffic jams, and traffic congestions etc. In this paper, to address the above-mentioned problems, dense urban traffic surveillance data analysis and principal component analysis on the vehicular data are performed. This study and analysis provide some findings, which are discussed to come up with various perspectives on the data patterns and analysis to develop a healthy, user-friendly and highly sophisticated environment to the daily commuters in the roadway sector.

Original language	English
Title of host publication	Proceedings of the TENCON 2019
Subtitle of host publication	Technology, Knowledge, and Society
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2711-2714
Number of pages	4
ISBN (Electronic)	9781728118956
DOIs	https://doi.org/10.1109/TENCON.2019.8929589
State	Published - Oct 2019
Event	2019 IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019 - Kerala, India Duration: 17 Oct 2019 → 20 Oct 2019

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume	2019-October
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2019 IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019
Country/Territory	India
City	Kerala
Period	17/10/19 → 20/10/19

Keywords

Dense Urban Traffic Surveillance
ITS
PCA
Principal Component Analysis
Traffic monitoring

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/TENCON.2019.8929589

Cite this

Balasubramaniam, A., Paul, A., & Afghah, F. (2019). Combined Dense Urban Traffic Surveillance and Principal Component Analysis for Intelligent Transportation Systems. In Proceedings of the TENCON 2019: Technology, Knowledge, and Society (pp. 2711-2714). Article 8929589 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2019-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2019.8929589

Balasubramaniam, Anandkumar ; Paul, Anand ; Afghah, Fatemeh. / Combined Dense Urban Traffic Surveillance and Principal Component Analysis for Intelligent Transportation Systems. Proceedings of the TENCON 2019: Technology, Knowledge, and Society. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 2711-2714 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

@inproceedings{bec57f463ed048ffb99f59fec7fed417,

title = "Combined Dense Urban Traffic Surveillance and Principal Component Analysis for Intelligent Transportation Systems",

abstract = "In parallel to the recent technological advancements and developments, there is a consistent development in the field of Intelligent Transportation Systems (ITS). Though advancements are considered in one side, there is also a negative side of increased road-accidents, traffic jams, and traffic congestions etc. In this paper, to address the above-mentioned problems, dense urban traffic surveillance data analysis and principal component analysis on the vehicular data are performed. This study and analysis provide some findings, which are discussed to come up with various perspectives on the data patterns and analysis to develop a healthy, user-friendly and highly sophisticated environment to the daily commuters in the roadway sector.",

keywords = "Dense Urban Traffic Surveillance, ITS, PCA, Principal Component Analysis, Traffic monitoring",

author = "Anandkumar Balasubramaniam and Anand Paul and Fatemeh Afghah",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019 ; Conference date: 17-10-2019 Through 20-10-2019",

year = "2019",

month = oct,

doi = "10.1109/TENCON.2019.8929589",

language = "English",

series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2711--2714",

booktitle = "Proceedings of the TENCON 2019",

address = "United States",

}

Balasubramaniam, A, Paul, A & Afghah, F 2019, Combined Dense Urban Traffic Surveillance and Principal Component Analysis for Intelligent Transportation Systems. in Proceedings of the TENCON 2019: Technology, Knowledge, and Society., 8929589, IEEE Region 10 Annual International Conference, Proceedings/TENCON, vol. 2019-October, Institute of Electrical and Electronics Engineers Inc., pp. 2711-2714, 2019 IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019, Kerala, India, 17/10/19. https://doi.org/10.1109/TENCON.2019.8929589

Combined Dense Urban Traffic Surveillance and Principal Component Analysis for Intelligent Transportation Systems. / Balasubramaniam, Anandkumar; Paul, Anand; Afghah, Fatemeh.
Proceedings of the TENCON 2019: Technology, Knowledge, and Society. Institute of Electrical and Electronics Engineers Inc., 2019. p. 2711-2714 8929589 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2019-October).

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

TY - GEN

T1 - Combined Dense Urban Traffic Surveillance and Principal Component Analysis for Intelligent Transportation Systems

AU - Balasubramaniam, Anandkumar

AU - Paul, Anand

AU - Afghah, Fatemeh

PY - 2019/10

Y1 - 2019/10

N2 - In parallel to the recent technological advancements and developments, there is a consistent development in the field of Intelligent Transportation Systems (ITS). Though advancements are considered in one side, there is also a negative side of increased road-accidents, traffic jams, and traffic congestions etc. In this paper, to address the above-mentioned problems, dense urban traffic surveillance data analysis and principal component analysis on the vehicular data are performed. This study and analysis provide some findings, which are discussed to come up with various perspectives on the data patterns and analysis to develop a healthy, user-friendly and highly sophisticated environment to the daily commuters in the roadway sector.

AB - In parallel to the recent technological advancements and developments, there is a consistent development in the field of Intelligent Transportation Systems (ITS). Though advancements are considered in one side, there is also a negative side of increased road-accidents, traffic jams, and traffic congestions etc. In this paper, to address the above-mentioned problems, dense urban traffic surveillance data analysis and principal component analysis on the vehicular data are performed. This study and analysis provide some findings, which are discussed to come up with various perspectives on the data patterns and analysis to develop a healthy, user-friendly and highly sophisticated environment to the daily commuters in the roadway sector.

KW - Dense Urban Traffic Surveillance

KW - ITS

KW - PCA

KW - Principal Component Analysis

KW - Traffic monitoring

UR - http://www.scopus.com/inward/record.url?scp=85077713615&partnerID=8YFLogxK

U2 - 10.1109/TENCON.2019.8929589

DO - 10.1109/TENCON.2019.8929589

M3 - Conference contribution

AN - SCOPUS:85077713615

T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON

SP - 2711

EP - 2714

BT - Proceedings of the TENCON 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019

Y2 - 17 October 2019 through 20 October 2019

ER -

Balasubramaniam A, Paul A, Afghah F. Combined Dense Urban Traffic Surveillance and Principal Component Analysis for Intelligent Transportation Systems. In Proceedings of the TENCON 2019: Technology, Knowledge, and Society. Institute of Electrical and Electronics Engineers Inc. 2019. p. 2711-2714. 8929589. (IEEE Region 10 Annual International Conference, Proceedings/TENCON). doi: 10.1109/TENCON.2019.8929589

Combined Dense Urban Traffic Surveillance and Principal Component Analysis for Intelligent Transportation Systems

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this