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The Journal of The Korea Institute of Intelligent Transport Systems Vol.24 No.5 pp.141-158
연속류 내 교통안전시설 인지 시점에 따른 자율주행차량의 교통 운영 전략 연구
Traffic Management Strategies for Autonomous Vehicles Based on Perception of Traffic Safety Facilities in Uninterrupted Traffic Flow
Abstract
This study examined the optimal perception location of traffic safety facilities by autonomous vehicles in uninterrupted traffic flow environments. We reviewed all traffic safety facilities commonly used in such environments and selected 105 facilities for evaluation. Based on these selections, simulation scenarios were designed reflecting key roadway transitions, namely diverges, lane drops, and speed-limit reductions. A microscopic traffic simulator was then integrated with an external driver-module API to enable acceleration and deceleration control of the autonomous vehicle. These results show that delayed perception of safety facilities can lead to unstable traffic flow and violations of legally mandated safety criteria. Therefore, perception must occur not only at a minimum safe distance but also at scenario-specific thresholds―approximately 425 m before a diverge, 550 m before a lane drop, and 340 m before a speed-limit reduction―to ensure stable and safe operations. The optimal perception locations identified in this study can provide a foundation for revising installation guidelines for traffic safety facilities for autonomous vehicles and establishing I2X communication message-timing standards.
