驾驶员对异常驾驶情况的反应、接受与评价

Kwangsoo Kim, Bong Wan Kim, Jun Wook Lee, Dong-Hwan Park
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引用次数: 3

摘要

本文介绍了一种对异常驾驶情况向驾驶员发出警报,接收驾驶员的反应,并对警报的有效性进行评估的系统。非正常驾驶分为三种类型:嗜睡驾驶、鲁莽驾驶和分心驾驶。该系统由传感组件、分析组件、推理组件、警报生成组件、用户界面组件和评估组件组成。传感组件测量并收集与驾驶情况相关的数据。分析组件分析由各个传感组件生成的原始数据,并生成用于确定驾驶情况的有价值的信息。推理组件结合从分析组件接收到的这些信息,提取出异常驾驶情况。警报生成组件根据每个异常驾驶情况产生不同的警报。用户界面显示警报并接收来自驱动程序的反应。评估组件评估警报的有效性。该系统将有助于防止驾驶员在非正常驾驶情况下造成的交通事故。
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Driver Reaction Acceptance and Evaluation to Abnormal Driving Situations
This paper describes a system which generates an alert on an abnormal driving situation to a driver, receives a reaction from the driver, and evaluates the effectiveness of the alert. The abnormal driving situations are separated into three types: drowsy driving, reckless driving, and distracted driving. The system consists of several components: sensing component, analysis component, inference component, alert generation component, user interface, and evaluation component. The sensing component measures and collects the data related to the driving situations. The analysis component analyzes the raw data generated by individual sensing component and generates valuable information used to determine the driving situation. The inference component combines those information received from the analysis component and extracts an abnormal driving situation. The alert generation component generates a different alert according to each abnormal driving situation. The user interface displays the alert and receives a reaction from the driver. The evaluation component evaluates the effectiveness of the alert. This system will help prevent vehicle accidents caused by a driver in abnormal driving situations.
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