Research of the performance improvement in traffic accident detecting system within the cross road

Sungjun Yoo; Youngchan Kim; Dongyoung Lee

doi:10.1109/MUE.2007.182

Research of the performance improvement in traffic accident detecting system within the cross road

Sungjun Yoo
, Youngchan Kim
, Dongyoung Lee

Department of Transportation Engineering

University of Seoul

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

Abstract

The purpose of this paper is to develop incident detection algorithm for improving performance of the automated traffic accident recorder in operation in Korea from 2004. The current automated traffic accident recorder has problems in increase of detection rate(DR) and correct detection rate(CDR) that are sensitive to environmental influences as time elapsed. In order to solve these problems, we developed the improved algorithms by utilizing of the object recognition, grant of weight and fluid approximation algorithm the result of field test for 2 weeks amounted to 28 detections of the movie files, total numbers of real traffic accidents was 6 cases in the detection area during the evaluation period. As the test was 100% of detection rate(DR), 21.4% of correct detection rate(CDR), we learned the system was improved the performance than existing system(DR 66.7% CDR 2.03%).

Original language	English
Title of host publication	Proceedings - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007
Pages	465-470
Number of pages	6
DOIs	https://doi.org/10.1109/MUE.2007.182
State	Published - 2007
Event	2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007 - Seoul, Korea, Republic of Duration: 26 Apr 2007 → 28 Apr 2007

Publication series

Name	Proceedings - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007

Conference

Conference	2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007
Country/Territory	Korea, Republic of
City	Seoul
Period	26/04/07 → 28/04/07

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Automated recording system of traffic accident
Correct detection rate(CDR)
Detection rate(DR)

Access to Document

10.1109/MUE.2007.182

Cite this

Yoo, S., Kim, Y., & Lee, D. (2007). Research of the performance improvement in traffic accident detecting system within the cross road. In Proceedings - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007 (pp. 465-470). Article 4197316 (Proceedings - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007). https://doi.org/10.1109/MUE.2007.182

@inproceedings{b66f27b4fd1a427bb4dcf10d74e209a0,

title = "Research of the performance improvement in traffic accident detecting system within the cross road",

abstract = "The purpose of this paper is to develop incident detection algorithm for improving performance of the automated traffic accident recorder in operation in Korea from 2004. The current automated traffic accident recorder has problems in increase of detection rate(DR) and correct detection rate(CDR) that are sensitive to environmental influences as time elapsed. In order to solve these problems, we developed the improved algorithms by utilizing of the object recognition, grant of weight and fluid approximation algorithm the result of field test for 2 weeks amounted to 28 detections of the movie files, total numbers of real traffic accidents was 6 cases in the detection area during the evaluation period. As the test was 100\% of detection rate(DR), 21.4\% of correct detection rate(CDR), we learned the system was improved the performance than existing system(DR 66.7\% CDR 2.03\%).",

keywords = "Automated recording system of traffic accident, Correct detection rate(CDR), Detection rate(DR)",

author = "Sungjun Yoo and Youngchan Kim and Dongyoung Lee",

year = "2007",

doi = "10.1109/MUE.2007.182",

language = "English",

isbn = "0769527779",

series = "Proceedings - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007",

pages = "465--470",

booktitle = "Proceedings - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007",

note = "2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007 ; Conference date: 26-04-2007 Through 28-04-2007",

}

Yoo, S, Kim, Y & Lee, D 2007, Research of the performance improvement in traffic accident detecting system within the cross road. in Proceedings - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007., 4197316, Proceedings - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007, pp. 465-470, 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007, Seoul, Korea, Republic of, 26/04/07. https://doi.org/10.1109/MUE.2007.182

Research of the performance improvement in traffic accident detecting system within the cross road. / Yoo, Sungjun; Kim, Youngchan; Lee, Dongyoung.
Proceedings - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007. 2007. p. 465-470 4197316 (Proceedings - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007).

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

TY - GEN

T1 - Research of the performance improvement in traffic accident detecting system within the cross road

AU - Yoo, Sungjun

AU - Kim, Youngchan

AU - Lee, Dongyoung

PY - 2007

Y1 - 2007

N2 - The purpose of this paper is to develop incident detection algorithm for improving performance of the automated traffic accident recorder in operation in Korea from 2004. The current automated traffic accident recorder has problems in increase of detection rate(DR) and correct detection rate(CDR) that are sensitive to environmental influences as time elapsed. In order to solve these problems, we developed the improved algorithms by utilizing of the object recognition, grant of weight and fluid approximation algorithm the result of field test for 2 weeks amounted to 28 detections of the movie files, total numbers of real traffic accidents was 6 cases in the detection area during the evaluation period. As the test was 100% of detection rate(DR), 21.4% of correct detection rate(CDR), we learned the system was improved the performance than existing system(DR 66.7% CDR 2.03%).

AB - The purpose of this paper is to develop incident detection algorithm for improving performance of the automated traffic accident recorder in operation in Korea from 2004. The current automated traffic accident recorder has problems in increase of detection rate(DR) and correct detection rate(CDR) that are sensitive to environmental influences as time elapsed. In order to solve these problems, we developed the improved algorithms by utilizing of the object recognition, grant of weight and fluid approximation algorithm the result of field test for 2 weeks amounted to 28 detections of the movie files, total numbers of real traffic accidents was 6 cases in the detection area during the evaluation period. As the test was 100% of detection rate(DR), 21.4% of correct detection rate(CDR), we learned the system was improved the performance than existing system(DR 66.7% CDR 2.03%).

KW - Automated recording system of traffic accident

KW - Correct detection rate(CDR)

KW - Detection rate(DR)

UR - https://www.scopus.com/pages/publications/37349067763

U2 - 10.1109/MUE.2007.182

DO - 10.1109/MUE.2007.182

M3 - Conference contribution

AN - SCOPUS:37349067763

SN - 0769527779

SN - 9780769527772

T3 - Proceedings - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007

SP - 465

EP - 470

BT - Proceedings - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007

T2 - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007

Y2 - 26 April 2007 through 28 April 2007

ER -

Yoo S, Kim Y, Lee D. Research of the performance improvement in traffic accident detecting system within the cross road. In Proceedings - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007. 2007. p. 465-470. 4197316. (Proceedings - 2007 International Conference on Multimedia and Ubiquitous Engineering, MUE 2007). doi: 10.1109/MUE.2007.182

Research of the performance improvement in traffic accident detecting system within the cross road

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this