注视熵和马尔科夫链的弯道诱导设施信息量研究

doi:10.16265/j.cnki.issn1003-3033.2020.08.018

中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (8): 122-128.doi: 10.16265/j.cnki.issn1003-3033.2020.08.018

注视熵和马尔科夫链的弯道诱导设施信息量研究

韩磊, 朱守林^** 教授, 高明星副教授, 李航天讲师, 刘鑫

内蒙古农业大学能源与交通工程学院,内蒙古呼和浩特 010018

收稿日期:2020-05-01 修回日期:2020-07-12 出版日期:2020-08-28
作者简介:韩磊 (1993—),男,河北唐山人,硕士研究生,主要研究方向为生态脆弱区交通规划与安全。E-mail:hanleibest@163.com。
基金资助:
国家自然科学基金资助(51768057)。

Research on information volume of guidance facilities on bends based on gaze entropy and Markov chain

HAN Lei, ZHU Shoulin, GAO Mingxing, LI Hangtian, LIU Xin

College of Energy and Traffic Engineering, Inner Mongolia Agriculture University, Hohhot Inner Mongolia 010018, China

Received:2020-05-01 Revised:2020-07-12 Published:2020-08-28

摘要/Abstract

摘要： 为探究驾驶人在不同诱导设施信息量的草原公路弯道行车时的注意力分配情况,建立5种不同层级诱导设施信息量(Q0、Q1、Q2、Q3、Q4)的草原公路弯道虚拟场景,并对其进行模拟驾驶试验;对驾驶人视野分区,分析驾驶人在不同信息量条件下注视熵率值变化特征;应用马尔科夫链计算驾驶人在不同信息量条件下注视点在各个区域间的一步转移概率和平稳分布概率。结果表明:草原公路弯道诱导设施信息量的变化对驾驶人注视熵率值影响显著,驾驶人在Q2(10～20 bits/km)信息量条件下注视熵率值最大;驾驶人需要对信息目标多次重复注视才能获取足够有效行车信息,90%以上的概率集中于道路左侧和远方区域,其中道路远方区域是驾驶人保证正常驾驶的重要观察区域。

关键词: 注视熵, 马尔科夫链, 诱导设施, 信息量, 草原公路

Abstract: In order to study drivers' attention distribution while driving on bends of grassland highways with different guidance facilities information volume, five virtual scenes of bends with diverse levels of information volume (Q0, Q1, Q2, Q3, Q4) were established, and driving simulation experiments were carried out. Then, drivers' visual fields were divided, and their gaze entropy changes under different volume conditions were analyzed. Finally, Markov chain was used to calculate one-step transfer probability and stable distribution probability of gaze in different regions. The results show that information volume change of guidance facilities on grassland highway bends has a significant impact on drivers' gaze entropy which would be the largest under Q2 condition(10-20 bits/km). They need to repeatedly gaze at target to obtain sufficient and effective driving information, and more than 90% of probability is concentrated in left and far areas of roads, of which the latter one is an significant zone for drivers to ensure normal driving.

Key words: fixation entropy, Markov chain, guidance facilities, information volume, grassland highway

中图分类号:

X912

韩磊, 朱守林, 高明星, 李航天, 刘鑫. 注视熵和马尔科夫链的弯道诱导设施信息量研究[J]. 中国安全科学学报, 2020, 30(8): 122-128.

HAN Lei, ZHU Shoulin, GAO Mingxing, LI Hangtian, LIU Xin. Research on information volume of guidance facilities on bends based on gaze entropy and Markov chain[J]. China Safety Science Journal, 2020, 30(8): 122-128.

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注视熵和马尔科夫链的弯道诱导设施信息量研究

Research on information volume of guidance facilities on bends based on gaze entropy and Markov chain

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