概率逻辑
计算机科学
等级制度
透视图(图形)
数据收集
交通冲突
运输工程
碰撞
流量分析
风险分析(工程)
数据科学
浮动车数据
计算机安全
工程类
人工智能
交通拥挤
医学
统计
数学
经济
市场经济
作者
Nicolas Saunier,Tarek Sayed
摘要
The advent of powerful sensing technologies, especially video sensors and computer vision techniques, has allowed for the collection of large quantities of detailed traffic data. These technologies allow further advancement toward completely automated systems for road safety analysis. This paper presents a comprehensive probabilistic framework for automated road safety analysis. Building on traffic conflict techniques and the concept of the safety hierarchy, it provides computational definitions of the probability of collision for road users involved in an interaction. It proposes new definitions for aggregated measures over time. This framework allows the interpretation of traffic from a safety perspective, by studying all interactions and their relationship to safety. New and more relevant exposure measures can be derived from this work, and traffic conflicts can be detected. A complete vision-based system is implemented to demonstrate the approach, providing experimental results on real-world video data.
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