대한교통학회 2024년도 추계학술대회
부분적 수집 자율주행 센서 데이터 기반 미시적 링크 궤적 추정 연구 (박지원)
This study presents a methodology to estimate reliable vehicle trajectories using data collected from the camera and lidar sensors of autonomous vehicles by combining BEV transformations, 3D object recognition followed by vehicle following models and probabilistic deep learning techniques.
실시간 교통정보를 고려한 C-ITS 기반 감응신호 제어 전략 : GLOSA 중심 연구 (김도현)
Integrating a time-dependent max-pressure signal control policy considering intersection demand every hour and a queue-based GLOSA algorithm.
동적 교통류 분석을 활용한 미시적 차량 추종 모델의 이중 캘리브레이션 (남혁주)
This study suggests a bi-level calibration framework for Intelligent Driver Model using dynamic traffic flow states attained from clustering a trajectory data.
현시기반의 적응형 긴급차량 우선신호 시스템 구축 (홍슬빈)
This study focuses on improving the responsive time of emergency vehicles at signalized intersections by using advanced traffic control methods.
복합 교통 네트워크 상 보행로 동적 배치 최적화 기법 (이소연)
This study proposes a dynamic lane allocation framework that enables efficient utilization of road space and congestion reduction by responding to changes in demand for different modes of transportation within a complex transportation network.
승차수요를 고려한 김포골드라인 열차 운행 스케줄 최적화 (김건민)
This study analyzed the effect of introducing SKIP-STOP operation method on the improvement of the level of service during the morning peak hours on the Gimpo Goldline, which has extreme congestion.