A VDS based traffic accident prediction analysis and future application

Lee Chungwon; Gyou Lee Bong; Kim Kisu; Sun Lee Hye

A VDS based traffic accident prediction analysis and future application

Lee Chungwon, Gyou Lee Bong, Kim Kisu, Sun Lee Hye

Graduate School of Information

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

Abstract

The purpose of this study is to present the prediction analysis of traffic accident and future applications by calculating accident risks based on ITS (Intelligent Transport Systems) data via VDS (Vehicle Detecting System). Many researches have described various traffic accident predictions and reductions. However, until recently, empirical studies considering real traffic environments are still insufficient. Site selections in this study were made from accident related data and collected data from VDS to calculate traffic accident rates. Results from analysis showed occurrence of traffic accident by time and explore possibilities for its application in future traffic accident management.

Original language	English
Title of host publication	Agent and Multi-Agent Systems
Subtitle of host publication	Technologies and Applications - First KES International Symposium, KES-AMSTA 2007, Proceedings
Pages	901-909
Number of pages	9
Publication status	Published - 2007
Event	1st KES International Symposium on Agent and Multi-Agent Systems - Technologies and Applications, KES-AMSTA 2007 - Wroclaw, Poland Duration: 2007 May 31 → 2007 Jun 1

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4496 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	1st KES International Symposium on Agent and Multi-Agent Systems - Technologies and Applications, KES-AMSTA 2007
Country/Territory	Poland
City	Wroclaw
Period	07/5/31 → 07/6/1

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

UN SDGs

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

Cite this

Chungwon, L., Bong, G. L., Kisu, K., & Hye, S. L. (2007). A VDS based traffic accident prediction analysis and future application. In Agent and Multi-Agent Systems: Technologies and Applications - First KES International Symposium, KES-AMSTA 2007, Proceedings (pp. 901-909). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4496 LNAI).

Chungwon, Lee ; Bong, Gyou Lee ; Kisu, Kim et al. / A VDS based traffic accident prediction analysis and future application. Agent and Multi-Agent Systems: Technologies and Applications - First KES International Symposium, KES-AMSTA 2007, Proceedings. 2007. pp. 901-909 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A VDS based traffic accident prediction analysis and future application",

abstract = "The purpose of this study is to present the prediction analysis of traffic accident and future applications by calculating accident risks based on ITS (Intelligent Transport Systems) data via VDS (Vehicle Detecting System). Many researches have described various traffic accident predictions and reductions. However, until recently, empirical studies considering real traffic environments are still insufficient. Site selections in this study were made from accident related data and collected data from VDS to calculate traffic accident rates. Results from analysis showed occurrence of traffic accident by time and explore possibilities for its application in future traffic accident management.",

author = "Lee Chungwon and Bong, {Gyou Lee} and Kim Kisu and Hye, {Sun Lee}",

year = "2007",

language = "English",

isbn = "9783540728290",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "901--909",

booktitle = "Agent and Multi-Agent Systems",

note = "1st KES International Symposium on Agent and Multi-Agent Systems - Technologies and Applications, KES-AMSTA 2007 ; Conference date: 31-05-2007 Through 01-06-2007",

}

Chungwon, L, Bong, GL, Kisu, K & Hye, SL 2007, A VDS based traffic accident prediction analysis and future application. in Agent and Multi-Agent Systems: Technologies and Applications - First KES International Symposium, KES-AMSTA 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4496 LNAI, pp. 901-909, 1st KES International Symposium on Agent and Multi-Agent Systems - Technologies and Applications, KES-AMSTA 2007, Wroclaw, Poland, 07/5/31.

A VDS based traffic accident prediction analysis and future application. / Chungwon, Lee; Bong, Gyou Lee; Kisu, Kim et al.
Agent and Multi-Agent Systems: Technologies and Applications - First KES International Symposium, KES-AMSTA 2007, Proceedings. 2007. p. 901-909 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4496 LNAI).

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

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T1 - A VDS based traffic accident prediction analysis and future application

AU - Chungwon, Lee

AU - Bong, Gyou Lee

AU - Kisu, Kim

AU - Hye, Sun Lee

PY - 2007

Y1 - 2007

N2 - The purpose of this study is to present the prediction analysis of traffic accident and future applications by calculating accident risks based on ITS (Intelligent Transport Systems) data via VDS (Vehicle Detecting System). Many researches have described various traffic accident predictions and reductions. However, until recently, empirical studies considering real traffic environments are still insufficient. Site selections in this study were made from accident related data and collected data from VDS to calculate traffic accident rates. Results from analysis showed occurrence of traffic accident by time and explore possibilities for its application in future traffic accident management.

AB - The purpose of this study is to present the prediction analysis of traffic accident and future applications by calculating accident risks based on ITS (Intelligent Transport Systems) data via VDS (Vehicle Detecting System). Many researches have described various traffic accident predictions and reductions. However, until recently, empirical studies considering real traffic environments are still insufficient. Site selections in this study were made from accident related data and collected data from VDS to calculate traffic accident rates. Results from analysis showed occurrence of traffic accident by time and explore possibilities for its application in future traffic accident management.

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M3 - Conference contribution

AN - SCOPUS:39649112167

SN - 9783540728290

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Agent and Multi-Agent Systems

T2 - 1st KES International Symposium on Agent and Multi-Agent Systems - Technologies and Applications, KES-AMSTA 2007

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ER -

Chungwon L, Bong GL, Kisu K, Hye SL. A VDS based traffic accident prediction analysis and future application. In Agent and Multi-Agent Systems: Technologies and Applications - First KES International Symposium, KES-AMSTA 2007, Proceedings. 2007. p. 901-909. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

A VDS based traffic accident prediction analysis and future application

Abstract

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All Science Journal Classification (ASJC) codes

UN SDGs

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