期刊文献+

基于物联网的道路客运车辆驾驶员疲劳驾驶监测系统研究

Research on fatigue driving monitoring system for road passenger vehicle drivers based on Internet of Things
下载PDF
导出
摘要 为减少因疲劳驾驶引发的交通事故,降低交通参与者生命财产受损风险,本文设计了一种基于物联网的道路客运车辆驾驶员疲劳驾驶监测系统。该系统具有三个部分,分别是可穿戴设备采集终端、智能手机软件和监控中心监测终端,其中监测系统有效连接驾驶员和监控中心,当终端节点采集的数据超过阈值,监控人员将及时干预驾驶员,有效实现风险预警。实际测试结果表明,该系统疲劳判定的准确率达94%以上,可用性高稳定性强,具有较好的应用前景。 In order to reduce traffi c accidents caused by fatigue driving and reduce the risk of damage to life and property of traffi c participants,this paper designed a fatigue driving monitoring system for road passenger vehicle drivers based on the Internet of Things.The system is divided into three parts:wearable device acquisition terminal,the smartphone software and monitoring terminal of monitoring center.The monitoring system eff ectively connects the driver and monitoring center.When the data collected by terminal node exceeds the threshold,monitoring personnel will timely intervene the driver and eff ectively realize risk warning.The actual test results show that the fatigue determination accuracy of the system is more than 94%,high availability and stability,and has a good application prospect.
作者 吴谭 张俊华 练云翔 袁会强 Wu Tan;Zhang Junhua;Lian Yunxiang;Yuan Huiqiang
出处 《时代汽车》 2023年第14期189-191,共3页 Auto Time
基金 2020年江西省教育厅科学技术研究项目,项目名称:基于物联网的道路客运车辆驾驶员疲劳驾驶监测系统研究,项目编号:GJJ208404。
关键词 交通安全 疲劳驾驶 疲劳监测 物联网 Traffi c safety fatigue driving fatigue monitoring Internet of Things
  • 相关文献

参考文献2

二级参考文献12

  • 1李志春,何仁,林谋有,李佩林.驾驶员疲劳检测技术的研究现状及发展趋势[J].农机化研究,2006,28(5):197-199. 被引量:26
  • 2刘灵,邓小燕,徐颖.汽车驾驶员驾驶疲劳监测方法与装置的研究现状[J].医疗卫生装备,2006,27(12):28-30. 被引量:13
  • 3Bishop R. A survey of intelligent vehicle applications worldwide[C]//A survey of intelligent vehicle applications worldwide. Intelligent Vehicles Symposium, 2000 IV 2000 Proceedings of the IEEE. IEEE: 25-30.
  • 4Kecklund G, kerstedt T. Sleepiness in long distance truck driving: an ambulatory EEG study of night driving[J]. Ergonomics, 1993, 36 (9): 1 007-1017.
  • 5Papadelis C, Kourtidou-Papadeli C, Bamidis P D, et al. Indicators of sleepiness in an ambulatory EEG study of night driving[C]//Indicators of sleepiness in an ambulatory EEG study of night driving. Engineering in Medicine and Biology Society, 2006 EMBS'06 28th Annual International Conference of the IEEE. IEEE: 6201-6204.
  • 6Lal S K, Craig A. Driver fatigue: electroencephalography and psychological assessment[J]. Psyehophysiology, 2002, 39 (3): 313-321.
  • 7Matthews R, Turner PJ, McDonald N J, et al. Real time workload classification from an ambulatory wireless EEG system using hybrid EEG electrodes[A]. In: Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society[C]. Vancouver: IEEE, 2008. 5 871-5 875.
  • 8范应威,徐礼胜,章星,等.非接触式的睡眠生理信号监测和睡眠分期[OL].中国科技论文在线[2013-07-05].http://www.p.per.edu.cn/releasepaper/contert/201307-86.
  • 9成波,张广渊,冯睿嘉,李家文,张希波.基于眼睛状态识别的驾驶员疲劳实时监测[J].汽车工程,2008,30(11):1001-1005. 被引量:14
  • 10李都厚,刘群,袁伟,刘浩学.疲劳驾驶与交通事故关系[J].交通运输工程学报,2010,10(2):104-109. 被引量:97

共引文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部