作者: Zuchao Wang , Min Lu , Xiaoru Yuan , Junping Zhang , Huub Van De Wetering
关键词: Traffic congestion reconstruction with Kerner's three-phase theory 、 Trajectory 、 Traffic congestion 、 Floating car data 、 Pattern recognition (psychology) 、 Road traffic 、 Beijing 、 Simulation 、 Real-time computing 、 Computer science 、 Global Positioning System
摘要: In this work, we present an interactive system for visual analysis of urban traffic congestion based on GPS trajectories. For these trajectories we develop strategies to extract and derive traffic jam information. After cleaning the trajectories, they are matched to a road network. Subsequently, traffic speed on each road segment is computed and traffic jam events are automatically detected. Spatially and temporally related events are concatenated in, so-called, traffic jam propagation graphs. These graphs form a high-level description of a traffic …