A VDS based traffic accident prediction analysis and future application

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationAgent and Multi-Agent Systems
Subtitle of host publicationTechnologies and Applications - First KES International Symposium, KES-AMSTA 2007, Proceedings
Pages901-909
Number of pages9
Publication statusPublished - 2007
Event1st KES International Symposium on Agent and Multi-Agent Systems - Technologies and Applications, KES-AMSTA 2007 - Wroclaw, Poland
Duration: 2007 May 312007 Jun 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4496 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st KES International Symposium on Agent and Multi-Agent Systems - Technologies and Applications, KES-AMSTA 2007
CountryPoland
CityWroclaw
Period07/5/3107/6/1

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • 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).