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학술대회 SALT-Viz: Real-Time Visualization for Large-Scale Traffic Simulation
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김성수, 민옥기, 김영국
IEEE Transportation Electrification Conference and Expo (ITEC) 2019 : Asia-Pacific, pp.1-5
19HS5900, 도시 교통 문제 개선을 위한 클라우드 기반 트래픽 예측 시뮬레이션 SW 기술 개발, 민옥기
The visualization of large-scale traffic simulation is a key problem for most big cities. Moreover, it is very important to visualize results of traffic simulations for each timestep in real-time, in order to analysis urban traffic congestion status accurately. However, large-scale traffic simulation and visualization has always been considered a challenging research topic, due to the preparation difficulty of massive road networks to simulate. In this paper, we present the SALT1, a novel traffic simulator and visualizer, that can handle large-scale urban traffic simulation. It introduces the concept of dynamic detailed geometry generation using base geometric information with attributes (e.g., the number of lanes) of links in road networks. Our system can provide efficient geometry processing and real-time level-of-detail rendering of traffic simulation results. The experimental results demonstrate that our system can be successfully applied to large-scale real-world urban traffic simulation.1 SALT is the abbreviation for 'Simulation for AnaLyzing urban Traffic', which is our project code name.
Geometry Processing, Level-of-Detail Rendering, Real-Time Visualization, Traffic Simulation
KSP 제안 키워드
Congestion status, Geometry generation, Large-scale traffic simulation, Real-world, Road Network, Traffic simulator, Urban traffic simulation, geometric information, geometry processing, level of details(LOD), real-time visualization