期刊文献+

车道保持与换道意图阶段眼动行为差异性分析 被引量:4

Analysis of eye movements difference between lane keeping and lane changing intention stage
原文传递
导出
摘要 为了解决目前依靠转向灯识别换道意图时因转向灯开启率低而识别遗漏的问题,探索运用驾驶人在不同任务条件下眼动行为存在的差异来识别换道意图。在真实道路环境条件下进行实车试验,采集了16名驾驶人车辆保持阶段和换道意图阶段的眼动行为数据,运用数理统计方法对比分析驾驶人在不同阶段的基本眼动参数、注意力分配和视觉搜索模式3个方面眼动行为参数。研究结果表明:平均注视时间、平均扫视幅度、车道注意力分配、后视镜注意力分配、仪表盘注意力分配、区域间注视转移概率、水平视觉搜索广度等参数在2个阶段存在显著差异;与车道保持阶段相比,驾驶人在换道意图阶段对目标车道和后视镜的关注明显增加,对当前车道和车内仪表的关注减少,在各注视区域间注视点转移更加灵活,水平方向视觉搜索区域增大。 In order to solve the problem of low identify rate for identifying lane changing intention relying on turn signal, new identification method for lane changing intention was explored using the difference of 16 driver's eye movement behaviors in different driving tasks. The real-world experi-ments were conducted to collect driver's eye movements data during lane keeping and lane changing in-tention stage. Mathematical statistical method was used to analyze eye movement behavior data between different stages, including basic eye movement parameters, attention allocation and visual search pat- terns. The results show that parameters such as the average fixation time, average saccade amplitude, attention allocation on different lanes, rearview mirror and dashboard attention allocation, fixation transi- tion probabilities between difference fixation areas, horizontal visual search breadths are significantly dif- ferent between these two stages; during lane changing intention stage, drivers pay more attention on the target lane and rearview mirrors, and pay less attention on the current lane and dashboard, compared with lane keeping stage. Besides, the fixation transition becomes more flexible and the horizontal search breadth becomes more wider during lane changing intention stage. 4 tabs, 9 figs, 16 refs.
出处 《长安大学学报(自然科学版)》 EI CAS CSCD 北大核心 2013年第4期86-91,共6页 Journal of Chang’an University(Natural Science Edition)
基金 国家自然科学基金项目(51178053) 教育部长江学者和创新团队发展计划项目(IRT1286) 中央高校创新团队基金项目(CHD2012TD006)
关键词 交通工程 驾驶人 换道 眼动行为 注意力分配 视觉搜索 traffic engineering driver lane-changing eye movement behavior attention alloca-tion visual search
  • 相关文献

参考文献15

  • 1Crundall D, Underwood G. Effects of experience and processing demands on visual information acquisition in drivers[J]. Ergonomics, 1998,41 (4) : 448-458.
  • 2Baujon J, Basset M, Gissinger G L. Visual behaviour analysis and driver cognitive model[C]//International Federation of Automatic Control. 3rd IFAC Work- shop: Advances in Automotive Control. Karlsruhe: Elsevier Science Ltd,2001:28-30.
  • 3Sodhi M, Reimer B, Cohen J L, et al. On-road driver eye movement tracking using head-mounted devices [C]//ACM. Eye Tracking Research and Applications Symposium. New York: ACM Press, 2002 : 61-68.
  • 4Dukic T, Hanson L, Holmqvist K, et al. Effect of but- ton location on driver's visual behaviour and safety perception[J]. Ergonomics, 2005,48 (4) : 399-410.
  • 5Dukic T, Hanson L,Falkmer T. Effect of drivers' age and push button locations on visual time off road, steering wheel deviation and safety perception[J].Er-gonomics, 2006,49(1) :78-92.
  • 6Victor T W, Harbluk J L, Engstr6m J A. Sensitivity of eye-movement measures to in-vehicle task difficulty [J]. Transportation Research Part F, 2005, 8 (2): 167-190.
  • 7Hiroyuki S, Hayhoe M M, Shrivastava A. What con- trols attention in natural environments? [J]. Vision Research, 2001 ,41 (25/26) :3535-3545.
  • 8Brackstone M,Waterson B. Are we looking where we are going? an exploratory examination of eye move- ment in high speed driving[C]//TRB. Proceeding of the 83rd Transportation Research Board Annual Meeting. Washington DC. TRB, 2004 : 2602-2626.
  • 9Salvucci D D, Liu A. The time course of a lane change., driver control and eye-movement behavior [J]. Transportation Research Part F: Traffic Psychol- ogy and Behaviour,2002,5(2) : 123-132.
  • 10Henning M J,Georgeon O,Krems J F. The quality of behavioral and environmental indicators used to infer the intention to change lanes[J]//Huber O, Szcjtli J. 4th International Driving Symposium on Human Fac- tors in Driver Assessment, Stevenson. Washington DC: Academic Publishers, 2007 : 231-237.

二级参考文献14

  • 1郭应时,付锐,袁伟,张建峰.通道宽度对驾驶员动态视觉和操作行为的影响[J].中国公路学报,2006,19(5):83-87. 被引量:50
  • 2袁伟,付锐,郭应时,张建峰.汽车驾驶人感知决策校正行为模式[J].长安大学学报(自然科学版),2007,27(3):80-83. 被引量:19
  • 3FALKMER T, GREGERSEN N P. Fixation patterns of learner drivers with and without cerebral palsy (CP) when driving in real traffic environments [J]. Transportation Research Part F.- Traffic Psychology and Behaviour, 2001, 4(3): 171-185.
  • 4CHAPMAN P, UNDERWOOD G, ROBERTS K. Visual search patterns in trained and untrained novice drivers[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2002, 5(2): 157-167.
  • 5UNDERWOOD G, CRUNDALL D, CHAPMAN P. Selective searching while driving: the role of experience in hazard detection and general surveillance [J]. Ergonomics, 2002, 45(1) : 1-15.
  • 6BAUJON J, BASSET M, GISSINGER G L. Visual behaviour analysis and driver cognitive model[C] // International Federation of Automatic Control. 3rd IFAC Workshop: Advances in Automotive Control. Karlsruhe: Elsevier Science Ltd. , 2001: 28-30.
  • 7VICTOR T W, HARBLUK J L, ENGSTROM J A. Sensitivity of eye-movement measures to in vehicle task difficulty[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2005, 8(2): 167-190.
  • 8杜志刚,潘晓东,杨轸,郭雪斌.高速公路隧道进出口视觉震荡与行车安全研究[J].中国公路学报,2007,20(5):101-105. 被引量:146
  • 9马艳丽,裴玉龙.连续驾驶时间对驾驶特性测评指标的影响[J].中国公路学报,2009,22(1):84-88. 被引量:24
  • 10赵炜华,刘浩学,董宪元,高鲲鹏,王辉.昼间颜色对行驶中驾驶人距离判识的影响[J].长安大学学报(自然科学版),2009,29(5):90-94. 被引量:25

共引文献24

同被引文献44

  • 1孟妮,韩丹.城市道路中驾驶员转向行为对注视行为的影响[J].交通信息与安全,2013,31(2):41-46. 被引量:3
  • 2张生瑞,马壮林.高速公路隧道交通环境评价指标体系[J].长安大学学报(自然科学版),2006,26(2):77-80. 被引量:40
  • 3杜志刚,潘晓东,杨轸,郭雪斌.高速公路隧道进出口视觉震荡与行车安全研究[J].中国公路学报,2007,20(5):101-105. 被引量:146
  • 4Zheng J, Suzuki K, Fujita M. Predicting driver’s lane-changing de-cisions using a neural network model. Simulation Modelling Practiceand Theory, 2014;42: 73-83.
  • 5Houenou A, Bonnifait P, Cherfaoui V,et al. Vehicle trajectory pre-diction based on motion model and maneuver recognition. IntelligentRobots and Systems ( IROS) , 2013 IEEE/RSJ International Confer-ence on. IEEE, 2013 : 4363-4369.
  • 6Hou Y, Edara P, Sun C. Modeling mandatory lane changing usingBayes classifier and decision trees. IEEE Transactions on IntelligentTransportation Systems, 2014;15(2) : 647-655.
  • 7孙纯.基于驾驶人视觉特性的换道意图识别.西安:长安大学,2012:26-45.
  • 8彭金栓.基于视觉特性弓车辆相对运动的驾驶人换道意图识別方法.西安:长安大学,2012:11-13.
  • 9侯海晶.高速公路驾驶人换道意图识别方法研究.长春:吉林大学,2013: 4-5.
  • 10张良力.面向安全预警的机动车驾驶意图识别方法研究.武汉:武汉理工大学,2011: 10-13.

引证文献4

二级引证文献29

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