Journal of Korean Society of Transportation (대한교통학회지)

Korean Society of Transportation (대한교통학회)
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Advanced Freeway Traffic Safety Warning Information System based on Surrogate Safety Measures (SSM): Information Processing Methods

Surrogate Safety Measures(SSM)기반 고속도로 교통안전 경고정보 처리 및 가공기법

  • 오철 (한양대학교 교통시스템공학과) ;
  • 오주택 (한국교통연구원 도로교통연구실) ;
  • 송태진 (한양대학교 교통시스템공학과) ;
  • 박재홍 (한양대학교 교통시스템공학과) ;
  • 김태진 (한양대학교 교통시스템공학과)
  • Received : 2009.03.12
  • Accepted : 2009.05.21
  • Published : 2009.06.30
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Abstract

This study presents a novel traffic information system which is capable of detecting unsafe traffic events leading to accident occurrence and providing warning information to drivers for safer driving. Unsafe traffic events are captured by a vehicle image processing-based detection system in real time. Surrogate safety measures (SSM) representing quantitative accident potentials were derived, and further utilized to develop a data processing algorithm and analysis techniques in the proposed system. This study also defined 'emergency warning area' and 'general warning area' for more effective provision of warning information. In addition, methodologies for determining thresholds to trigger warning information were presented. Technical issues and further studies to fully exploit the benefits of the proposed system were discussed. It is expected that the proposed system would be effective for better management of traffic flow to prevent traffic accidents on freeways.

본 연구는 실시간 주행환경에서 교통사고를 유발할 수 있는 위험한 교통상황을 검지하고 경고정보를 운전자에게 제공하여 운전자의 회피 행동을 효율적으로 유도할 수 있는 경고정보시스템을 제안하였다. 교통사고 개연성을 계량화해서 나타낼 수 있는 Surrogate Safety Measure(SSM)를 도출하여 제안한 시스템의 구현을 위한 정보처리 및 가공기법을 개발하였다. 제안된 알고리즘을 통해 생성된 경고정보는 긴급영향권과 일반영향권으로 구분되어 제공 될 수 있다. 각 영향권에서 차별화된 경고정보 제공이 가능하도록 하는 임계값 결정방법론을 제시하였다. 본 연구에서 새롭게 제안하는 경고정보시스템은 고속도로 교통사고 예방을 위한 교통류 관리를 위해 효과적으로 활용될 것으로 기대된다.

Keywords

References

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