交通运输系统工程与信息

交通运输系统工程与信息 ›› 2014, Vol. 14 ›› Issue (2): 68-73.

• 智能交通系统与信息技术 • 上一篇    下一篇

车辆换道过程中驾驶人注视转移模式研究

吴付威*，付 锐，牛增良   

  1. 长安大学汽车运输安全保障技术交通行业重点实验室，西安710064
  • 收稿日期:2013-09-04 修回日期:2013-11-27 出版日期:2014-04-25 发布日期:2014-07-07
  • 作者简介:吴付威（1986-），男，山东苍山人，助理工程师，工学硕士.
  • 基金资助:

    国家自然科学基金项目（51178053）；教育部长江学者与创新团队支持计划项目(IRT1286).

Driver’s Fixation Transition Mode during Lane Changing Process

WU Fu-wei，FU Rui，NIU Zeng-liang   

  1. Key Laboratory of Automotive Transportation Safety Technology, Ministry of Transport, Chang’an University, Xi’an710064, China
  • Received:2013-09-04 Revised:2013-11-27 Online:2014-04-25 Published:2014-07-07

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被引次数

5

摘要：

为了研究高速公路换道过程中驾驶人的视觉转移特性，在高速公路上开展实车 换道试验，利用faceLAB 5非接触式眼动仪，监控并记录13名驾驶人在换道过程中的眼动 行为数据.首先根据眼动数据的统计分析得出换道意图阶段时窗宽度；然后运用马尔可夫 链理论，探索注视点在各个注视区域之间的注视转移规律及其平稳分布特性；最后分析 在换道意图阶段与换道执行阶段驾驶人的注视分布情况差异.研究发现，在换道意图阶段 驾驶人的视线在原车道与目标车道之间转移比正常驾驶更为频繁，且水平方向视线分布 角度更广.研究结果能够为判断驾驶人是否有换道意图提供理论依据.

关键词: 交通工程, 换道, 马尔科夫理论, 注视转移模式, 稳态分布

Abstract:

In order to research drivers’fixationtransition characteristics on highway, real road lane changing experiments are conducted on highway. A kind of non- contact eye movement equipment faceLAB 5is used to monitor and record the eye movement data of13drivers. Firstly, by statistic analysis of the eye movement data, it confirms the time length lane change intent stage. Then, the Markov Chain Theory is employed to analyze fixation transition mode as well as fixation steady state distribution characteristics. Finally, differences of the drivers’fixation situation are analyzed during lane change intent stage and lane change implementation stage. The study shows that during lane change intent stage the transition of driver’s visual line between the original lane and target lane is more frequent than normal driving, with wider horizontal visual angle. The research results can provide a theoretical basis to determine whether a driver has lane changing intent.

Key words: traffic engineering, lane change, Markov Chain Theory, fixation transition mode, steady state distribution

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