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자율주행차량과 일반차량의 인지 방식과 범위의 차이에 따른 교통안전시설 설치 및 운영 개선방안 연구

Study on Improvement Plans for Installation and Operation of Traffic Safety Facilities according to Differences in Perception Methods and Range of Autonomous Vehicles and Human Vehicles

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초록

본 연구는 자율주행차량과 일반차량의 인지 방식과 범위의 차이를 비교하고 미시적 교통시뮬레이션을 활용한 교통안전시설의 설치 및 운영 개선방안을 제안하는 것을 목적으로 하였다. 연구에서는 기존 교통안전표지 설치·관리 업무편람을 검토하고 교통안전시설 중 안전표지를차량의 행동 변화에 따라 분류하였다. 이후, 분류된 시설에 대해 가상환경에서 시뮬레이션 실험을 통해 안전표지의 설치 위치를 변경해가며 최적 설치지점을 추론하여 개선방안을 제시하였다. 본 연구는 일반 운전자의 시인성을 기준으로 설치된 교통안전시설이 자율주행차량과 일반차량이 혼재된 상황에서 도로 효율성과 안전성에 어떠한 영향을 주는지 확인하였다. 본 연구를 통해 도출한 교통안전시설의 인지에 대한 임곗값은 교통안전시설의 설치·관리에 관한 규칙의 개정 근거로 활용될 수 있다는 데 의의가 있다.

Abstract

This paper proposes a plan to improve the installation and operation of traffic safety facilities using a microscopic simulation by confirming the difference in the perception method and range of autonomous vehicles and human vehicles. In this study, the existing 『Traffic Safety Sign Installation·Management Guidelines』 was reviewed, and safety signs among traffic safety facilities were classified according to changes in vehicle behavior. Subsequently, for the classified facilities, the installation location of the traffic sign was changed through simulation experiments, and the optimal location was inferred to suggest an improvement plan. This study confirmed how traffic safety facilities installed based on the visibility of human drivers affect road efficiency and safety in mixed traffic flow with autonomous vehicles and human-controlled vehicles. The optimal location derived through this study is meaningful because it can be used as the basis for revising the guidelines on the installation and management of traffic safety facilities.

참고문헌 (52)

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