摘要
以寻找可反映驾驶人心理负荷的交通冲突识别指标及基于该指标的交通冲突识别方法为目的,通过比较分析明确了冲突刺激与瞳孔直径的相关关系,针对原始GSA(gravitational search algorithm)识别方法仅可搜索最优解的缺陷并面向交通冲突识别要求提出了基于瞳孔直径的GSA-T交通冲突快速识别方法.撞固定物冲突验证结果显示GSA-T方法的对比次数和识别时间均比枚举方法少,证明GSA-T方法具有较低时间复杂度和空间复杂度的优势,可满足交通冲突识别和道路安全评价的要求.
To find traffic conflict identification indicator which can reflect driver's mental load and traffic conflict identification method based on the indicator,the correlation between the conflict stimuli and the pupil diameter is identified by comparative analysis,a pupil diameter based GSA- T fast traffic conflict identification method is proposed to remedy the defects of original GSA to meet the requests of traffic conflict identification. The result of construction conflict shows that the computation and the identification time of the GSA- T is shorter than the Enumeration method,thus the low time complexity and space complexity are testified. It is proved that GSA-T can meet the requests of traffic conflict identification and road safety evaluation,and can lay foundation for further study of relationship between traffic conflict severity and pupil diameter.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2016年第3期82-88,共7页
Journal of Harbin Institute of Technology
基金
国家自然科学基金(51308251,51308250,51508315)
中国博士后基金特别资助(2014T70292)
吉林省科技发展计划(20130521004JH,20140204021SF)
关键词
交通冲突技术
识别方法
驾驶人
瞳孔直径
撞固定物冲突
traffic conflict technique
identification method
driver
pupil diameter
construction conflic