权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Detect and Interrupt Alcohol Impaired Driving with a New 3D Camera System

使用新型 3D 摄像系统检测并阻止酒后驾驶

基本信息

批准号：
8707290
负责人：
Changxu Wu
金额：
$ 17.49万
依托单位：
STATE UNIVERSITY OF NEW YORK AT BUFFALO
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-08-01 至 2016-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8707290
关键词：
Accidents Acute Address Adopted Alcohols Algorithms Automobile Driving Behavior Biological Models Code Cognitive Color Data Detection Development Devices Drunk driving Goals Health Interdisciplinary Study Interruption Interview Knowledge Lateral Measures Methods Motion Participant Pattern Recognition Performance Police Police officer Positioning Attribute Process Public Health Qualifying Records Safety Sensitivity and Specificity Signal Transduction Site Speed Staging System Techniques Technology Testing Time Training Transportation United States Universities Weight Wireless Technology Work base computerized data processing data mining design driving behavior experience field study ignition interlock device impaired driving performance improved killings novel public health relevance research study sobriety trafficking transmission process

项目摘要

DESCRIPTION (provided by applicant): Alcohol-impaired driving contributes to more than 10,000 traffic fatalities every year in the United States. A direct way to reduce alcohol-impaired driving is to identify and immediately check those vehicles in which driving behavior is impaired. Various alcohol-impaired driving detection techniques have been developed including ignition interlock and in-vehicle systems to measure vehicle lateral deviations; however, all these existing alcohol-impaired driving detection techniques rely on special devices installed in a vehicle and most vehicles currently on the road do not include these devices. Moreover, few of these techniques systematically integrate vehicle motion signals with the knowledge and experience of police officers in detecting alcohol-impaired driving. Objective: To address this problem in the detection of alcohol-impaired driving, the current work designs and tests a novel intelligent 3D camera-based alcohol-impaired driving detection and interruption system. This new system will integrate top-down knowledge of experienced police officers with bottom-up data of vehicle motion and other visible information as well as historical accident data and information of time of day and day of week. It will be designed to automatically identify alcohol-impaired driving without relying on any special device in a vehicle and send wireless alerts to police cars nearby to check the problem vehicle immediately. Methods and Aims: Aim 1 is to collect data on vehicle motion in both alcohol-impaired and normal driving situations as well as the experience and knowledge of experienced police officers in identifying alcohol-impaired driving. It includes three sub-studies: an experimental driving simulator study (60 participants), field study (30 participants), and an interview study (30 experienced police officers). Aim 2 adopts system design approaches to design and develop this system, and the algorithms of the system will be trained based on the data obtained from the three sub-studies of Aim 1. After the system is developed, it will be installed, improved and field tested on real roads with the assistance of local police (Aim 3). Impacts: It is anticipated that this new system will change the traditional external method for detection of alcohol-impaired driving (i.e., subjective observation of police officers) to automatic detection, thereby increasing the number of problem vehicles being checked, and eventually decreasing fatalities caused by alcohol-impaired driving.

描述(由申请人提供)：在美国，酒后驾车每年造成超过10,000人的交通死亡。减少酒后驾车的一个直接方法是识别并立即检查驾驶行为受损的车辆。已经开发了各种酒精受损驾驶检测技术，包括点火联锁和车载系统来测量车辆的横向偏差；然而，所有这些现有的酒精受损驾驶检测技术都依赖于安装在车辆上的特殊设备，目前在道路上行驶的大多数车辆都不包括这些设备。此外，很少有这些技术系统地将车辆运动信号与警察在检测酒后驾驶方面的知识和经验结合起来。目的：针对酒后驾驶检测中的这一问题，设计并测试了一种新型的基于智能3D摄像机的酒后驾驶检测与中断系统。这个新系统将把经验丰富的警务人员自上而下的知识与自下而上的车辆运动数据和其他可见信息，以及历史事故数据和一天中的时间和星期几的信息结合在一起。它的设计将自动识别酒精受损的驾驶，而不依赖于车辆上的任何特殊设备，并向附近的警车发送无线警报，立即检查问题车辆。方法和目标：目标1是收集酒精受损和正常驾驶情况下车辆运动的数据，以及有经验的警察在识别酒精受损驾驶方面的经验和知识。它包括三个子研究：实验性驾驶模拟器研究(60名参与者)、实地研究(30名参与者)和访谈研究(30名经验丰富的警察)。目标2采用系统设计方法设计和开发该系统，系统的算法将根据目标1的三个分研究获得的数据进行训练。系统开发完成后，将在当地警方的协助下进行安装、改进和在实际道路上进行现场测试(目标3)。影响：预计这一新系统将改变传统的检测酒后驾驶的外部方法(即主观观察法从警察)到自动检测，从而增加了接受检查的问题车辆的数量，并最终减少了酒后驾驶造成的死亡。