K-means and CRP-based characteristic investigating method of traffic accidents with automated speed enforcement cameras

Shin Hyung Park; Shin Hyoung Park; Oh Hoon Kwon

doi:10.1007/978-981-13-1328-8_81

K-means and CRP-based characteristic investigating method of traffic accidents with automated speed enforcement cameras

Shin Hyung Park
, Shin Hyoung Park
, Oh Hoon Kwon

Department of Transportation Engineering

Keimyung University

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

2 Scopus citations

Abstract

Traffic speed enforcement cameras are used to reduce speeding, which is a major element in increasing the frequency and severity from traffic accidents in urban areas. Existing researches have focused on the analysis on the efficacy of traffic enforcement cameras such as comparison of the number of traffic accidents and the change in the speed before and after the installation of the cameras in highway areas. This study conducts temporal and spatial analysis of traffic accidents in the sites where speed enforcement cameras are installed for urban area. The findings show that enforcement cameras differently affect the traffic accidents according to the roadway environment. The results of this analysis can be applied to draw up preliminary policy guidelines on the installation of the automated speed enforcement camera.

Original language	English
Title of host publication	Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2018
Editors	James J. Park, Kim-Kwang Raymond Choo, Gangman Yi, Vincenzo Loia
Publisher	Springer Verlag
Pages	631-637
Number of pages	7
ISBN (Print)	9789811313271
DOIs	https://doi.org/10.1007/978-981-13-1328-8_81
State	Published - 2019
Event	13th International Conference on Future Information Technology, FutureTech 2018 - Salerno, Italy Duration: 23 Apr 2018 → 25 Apr 2018

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	518
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	13th International Conference on Future Information Technology, FutureTech 2018
Country/Territory	Italy
City	Salerno
Period	23/04/18 → 25/04/18

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Automated speed enforcement camera
Continuous risk profile
Traffic accident
Urban area

Access to Document

10.1007/978-981-13-1328-8_81

Cite this

Park, S. H., Park, S. H., & Kwon, O. H. (2019). K-means and CRP-based characteristic investigating method of traffic accidents with automated speed enforcement cameras. In J. J. Park, K.-K. R. Choo, G. Yi, & V. Loia (Eds.), Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2018 (pp. 631-637). (Lecture Notes in Electrical Engineering; Vol. 518). Springer Verlag. https://doi.org/10.1007/978-981-13-1328-8_81

Park, Shin Hyung ; Park, Shin Hyoung ; Kwon, Oh Hoon. / K-means and CRP-based characteristic investigating method of traffic accidents with automated speed enforcement cameras. Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2018. editor / James J. Park ; Kim-Kwang Raymond Choo ; Gangman Yi ; Vincenzo Loia. Springer Verlag, 2019. pp. 631-637 (Lecture Notes in Electrical Engineering).

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abstract = "Traffic speed enforcement cameras are used to reduce speeding, which is a major element in increasing the frequency and severity from traffic accidents in urban areas. Existing researches have focused on the analysis on the efficacy of traffic enforcement cameras such as comparison of the number of traffic accidents and the change in the speed before and after the installation of the cameras in highway areas. This study conducts temporal and spatial analysis of traffic accidents in the sites where speed enforcement cameras are installed for urban area. The findings show that enforcement cameras differently affect the traffic accidents according to the roadway environment. The results of this analysis can be applied to draw up preliminary policy guidelines on the installation of the automated speed enforcement camera.",

keywords = "Automated speed enforcement camera, Continuous risk profile, Traffic accident, Urban area",

author = "Park, \{Shin Hyung\} and Park, \{Shin Hyoung\} and Kwon, \{Oh Hoon\}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; 13th International Conference on Future Information Technology, FutureTech 2018 ; Conference date: 23-04-2018 Through 25-04-2018",

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language = "English",

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series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "631--637",

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booktitle = "Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2018",

address = "Germany",

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Park, SH, Park, SH & Kwon, OH 2019, K-means and CRP-based characteristic investigating method of traffic accidents with automated speed enforcement cameras. in JJ Park, K-KR Choo, G Yi & V Loia (eds), Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2018. Lecture Notes in Electrical Engineering, vol. 518, Springer Verlag, pp. 631-637, 13th International Conference on Future Information Technology, FutureTech 2018, Salerno, Italy, 23/04/18. https://doi.org/10.1007/978-981-13-1328-8_81

K-means and CRP-based characteristic investigating method of traffic accidents with automated speed enforcement cameras. / Park, Shin Hyung; Park, Shin Hyoung; Kwon, Oh Hoon.
Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2018. ed. / James J. Park; Kim-Kwang Raymond Choo; Gangman Yi; Vincenzo Loia. Springer Verlag, 2019. p. 631-637 (Lecture Notes in Electrical Engineering; Vol. 518).

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

TY - GEN

T1 - K-means and CRP-based characteristic investigating method of traffic accidents with automated speed enforcement cameras

AU - Park, Shin Hyung

AU - Park, Shin Hyoung

AU - Kwon, Oh Hoon

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2019.

PY - 2019

Y1 - 2019

N2 - Traffic speed enforcement cameras are used to reduce speeding, which is a major element in increasing the frequency and severity from traffic accidents in urban areas. Existing researches have focused on the analysis on the efficacy of traffic enforcement cameras such as comparison of the number of traffic accidents and the change in the speed before and after the installation of the cameras in highway areas. This study conducts temporal and spatial analysis of traffic accidents in the sites where speed enforcement cameras are installed for urban area. The findings show that enforcement cameras differently affect the traffic accidents according to the roadway environment. The results of this analysis can be applied to draw up preliminary policy guidelines on the installation of the automated speed enforcement camera.

AB - Traffic speed enforcement cameras are used to reduce speeding, which is a major element in increasing the frequency and severity from traffic accidents in urban areas. Existing researches have focused on the analysis on the efficacy of traffic enforcement cameras such as comparison of the number of traffic accidents and the change in the speed before and after the installation of the cameras in highway areas. This study conducts temporal and spatial analysis of traffic accidents in the sites where speed enforcement cameras are installed for urban area. The findings show that enforcement cameras differently affect the traffic accidents according to the roadway environment. The results of this analysis can be applied to draw up preliminary policy guidelines on the installation of the automated speed enforcement camera.

KW - Automated speed enforcement camera

KW - Continuous risk profile

KW - Traffic accident

KW - Urban area

UR - https://www.scopus.com/pages/publications/85058326384

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DO - 10.1007/978-981-13-1328-8_81

M3 - Conference contribution

AN - SCOPUS:85058326384

SN - 9789811313271

T3 - Lecture Notes in Electrical Engineering

SP - 631

EP - 637

BT - Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2018

A2 - Park, James J.

A2 - Choo, Kim-Kwang Raymond

A2 - Yi, Gangman

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PB - Springer Verlag

T2 - 13th International Conference on Future Information Technology, FutureTech 2018

Y2 - 23 April 2018 through 25 April 2018

ER -

Park SH, Park SH, Kwon OH. K-means and CRP-based characteristic investigating method of traffic accidents with automated speed enforcement cameras. In Park JJ, Choo KKR, Yi G, Loia V, editors, Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2018. Springer Verlag. 2019. p. 631-637. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-13-1328-8_81

K-means and CRP-based characteristic investigating method of traffic accidents with automated speed enforcement cameras

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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