標題: Interactive Visual Analysis for Vehicle Detector Data
作者: Chen, Yi-Cheng
Wang, Yu-Shuen
Lin, Wen-Chieh
Huang, Wei-Xiang
Lin, I-Chen
交大名義發表
National Chiao Tung University
公開日期: 1-Jun-2015
摘要: Visualization of vehicle detection (VD) data is essential because the data play an important role in traffic control and policy development. Most previous works focus on visualizing trajectories obtained from global positioning system (GPS), which are detailed but less representative. In contrast, VD data report the traffic statistic at each sensing site during a time span, including speed, flow, and occupancy of each lane, which contain comprehensive traffic information for analysis. In this work, we visualize three-year VD data of freeways in Taiwan. The visualization depicts the traffic situation at a site over time using a color-coded chart that extends from left to right over time. The charts are vertically stacked and horizontally aligned according to VD\'s located mileage and data time, respectively, to provide global insight. Our system allows semantic zoom, which changes the chart appearance in a continuous manner, to enable macro- and micro- scopic visualizations. Analysts can explore events that span an area with different sizes and that persist a time span with various lengths. To ensure the feasibility of our visualization, before the system design, we conducted a study with experts who work in the national freeway bureau and the institute of transportation of Taiwan. We also showed our results to the experts after the prototype system was built. The feedback shows that our VD data visualization is helpful to traffic control and policy development.
URI: http://dx.doi.org/10.1111/cgf.12629
http://hdl.handle.net/11536/128078
ISSN: 0167-7055
DOI: 10.1111/cgf.12629
期刊: COMPUTER GRAPHICS FORUM
Volume: 34
起始頁: 171
結束頁: 180
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