利用视觉交互系统探索交通事故

Joshua Zerafa, Md. Rafiqul Islam, M. A. Kabir, Guandong Xu
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引用次数: 4

摘要

多年来,道路交通事故(例如道路事故、车辆故障)的影响日益严重,成为许多不利问题的主要原因,例如严重伤害、经济损失和终身残疾。因此,必须认识到这些问题,并积极主动地构建适当的解决方案,以减轻这些问题在未来的影响。本文概述了交通事故研究的历史,并介绍了机器学习、数学建模和可视化系统等几种解决交通事故分析的方法。在本文中,我们设计了一个独特的可视化系统,ExTraVis,用于事件数据的探索和分析,可用于帮助交通管理控制人员,帮助他们做出决策,并帮助他们了解过去的事件是如何影响的以及事件可能发生的地方。该系统的主要特点是视觉探索和分析,以克服与道路交通事故有关的问题,并鼓励今后的工作和改进。此外,我们为自由文本搜索功能收集各种自定义查询。我们发现,当人们提出问题时,我们的系统会提供90%的正确视觉洞察。最后,通过比较三种不同的事件可视化仪表板和用户研究,我们证明了ExTraVis的有效性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ExTraVis: Exploration of Traffic Incidents Using a Visual Interactive System
The impact of road traffic incidents (e.g., road accidents, vehicle breakdowns) have become progressively worse over the years, being a major cause of many adverse issues such as serious injury, economic loss, and lifelong disabilities. Thus, it is essential to acknowledge these issues and proactively construct appropriate solutions to mitigate the impact of these issues in the future. This study outlines the history of traffic incident research and covers several solutions such as machine learning, mathematical modeling, and visualization system to traffic incident analysis. In this paper, we design a unique visualization system, ExTraVis, for incident data exploration and analysis that can be used to help traffic management controllers, aid to make decisions, and help them to understand how past incidents affected and where incidents may occur. The key features of this system are visual exploration and analysis to overcome the problems linked with road traffic incidents and to encourage future work and improvements. Additionally, we gather various custom queries for free text search feature. We find that people ask questions and our system provide 90% correct visual insights. Finally, we demonstrate the effectiveness and robustness of ExTraVis by comparing with three different incident visualization dashboards and a user study.
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