Driving-Behavior Monitoring Using an Unmanned Aircraft System (UAS)

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外文摘要：Abnormal driving behaviors have been used as cues to identify Driving While Intoxicated (DWI) drivers and prevent DWI-related accidents。 Currently law enforcement officials rely on visual observation for detecting such behaviors and identify potentially DWI drivers。 This approach however， is subject to human error and limited to vehicles in a very small region。 To overcome these limitations， we propose to use an Unmanned Aircraft System (UAS) for driving-behavior monitoring to prevent accidents and promote highway safety。 A high-resolution optical camera on the UAS is used to capture the movement of vehicles on the road。 The vehicle trajectories are tracked from the captured videos to identify the misbehaviors。 This allows for a quicker response time from law enforcement。 A risk model is also developed for analyzing the severity of misbehaviors while providing a basis to take appropriate action to reduce dangerous activity。 We developed a UAS prototype to showcase the practicality and effectiveness of the proposed system。 It was demonstrated that dangerous driving activity on highways can be effectively and timely detected and analyzed。

外文关键词：

Driving behavior monitoringUnmanned aircraft systemDriving safety

作者：

Calvin Zheng、Andreina Breton、Wajeeh Iqbal、Ibaad Sadiq、Elsayed Elsayed、Kang Li

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作者单位：

Rutgers University, Piscataway, NJ 08854, USA

会议名称：

International conference on human-computer interaction;International conference on digital human modeling

会议地点：

Los Angeles, CA(US)

会议母体文献：

Digital human modeling: applications in health, safety, ergonomics and risk management: human modeling

页码：

305-312

出版时间：

2015

DOI：

10.1007/978-3-319-21070-4_31