The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Analysis of Traffic Flow Based on Autonomous Vehicles' Perception of Traffic Safety Signs in Urban Roads

도시부 도로 내 자율주행차량의 교통안전표지 정보 인지 시점에 따른 교통류 분석

  • Jongho Kim (Cho Chun Shik Graduate School of Mobility, KAIST) ;
  • Hyeokjun Jang (Cho Chun Shik Graduate School of Mobility, KAIST) ;
  • Eum Han (Traffic Science Institute, The Road Traffic Authority) ;
  • Eunjeong Ko (Cho Chun Shik Graduate School of Mobility, KAIST)
  • 김종호 (한국과학기술원 조천식모빌리티대학원 ) ;
  • 장혁준 (한국과학기술원 조천식모빌리티대학원 ) ;
  • 한음 (도로교통공단 교통과학연구원 ) ;
  • 고은정 (한국과학기술원 조천식모빌리티대학원 )
  • Received : 2023.08.24
  • Accepted : 2023.10.05
  • Published : 2023.10.31
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Abstract

The objective of this study is to derive the appropriate perception location for changes in driving behavior of autonomous vehicles in urban road environments based on traffic safety signs. For this purpose, 32 types of signs that induce changes in driving behavior were selected from currently used traffic safety signs and classified as three types according to changes in driving behavior. Based on this, three scenarios were designed: stop, speed change, and lane change scenarios. These were used to confirm the impact on traffic flow. As a result of the analysis, it was found that each scenario needs to receive information on traffic safety signs in advance to ensure changes in traffic flow and safety. Consequently, the appropriate perception location can be used as a basis for establishing standards for delivering message sets to autonomous vehicles or revising traffic safety signs for them. In addition, this study is expected to contribute to the establishment of safe and efficient driving strategies on urban roads as autonomous vehicles are introduced in the future.

본 연구는 교통안전표지를 기반으로 도시부 도로 환경에서 자율주행차량의 주행행태 변화에 따른 적정 인지 시점을 도출하는 것을 목적으로 하였다. 이를 위해 현재 설치 및 운영 중인 교통안전표지 중에서 주행행태 변화를 유도하는 32종의 표지를 선별하고 주행행태 변화에 따라 3가지로 분류하였다. 이를 토대로 설계된 3가지 시나리오 (일시정지, 속도변경, 차로변경)를 통해 자율주행차량의 인지 시점에 따른 교통류 영향을 확인하고, 자율주행차량의 적정 인지 시점에 대해 도출하였다. 분석 결과, 각 시나리오는 교통류의 변화 및 안전성을 보장하기 위해 기존 설치된 교통안전표지 정보를 미리 전달받아야 하는 것으로 나타났다. 이에 따라, 본 연구를 통해 도출된 적정 인지 시점은 자율주행차량에게 메세지 셋을 전달하는 기준 수립이나 자율주행차량을 위한 교통안전표지 개정 근거로 활용될 수 있을 것으로 사료된다. 이와 더불어, 향후 자율주행차량의 실 도로 도입에 따라 도시부 도로에서 안전하고 효율적인 주행 전략 수립에도 기여 할 수 있을 것으로 판단된다.

Keywords

Acknowledgement

본 논문은 2023년도 정부(경찰청)의 재원으로 과학치안진흥센터의 지원을 받아 수행된 연구임(No.092021C26S01000, Lv.4 대응 교통안전 인프라 표준 및 평가기술 개발).

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