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城市隧道分流区驾驶人注视行为特性研究 被引量:1
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作者 贺世明 杜志刚 +2 位作者 韩磊 许富强 尹香港 《武汉理工大学学报(交通科学与工程版)》 2022年第2期230-234,241,共6页
为探究在城市隧道分流区行驶过程中驾驶人注视行为特征变化规律,文中选取20名被试驾驶人在武汉公铁隧道内分流区路段开展实车实验,对驾驶人注视区域进行划分,分析驾驶人经分流区进入主线和匝道两条路线时的注视行为时间特性和空间特性.... 为探究在城市隧道分流区行驶过程中驾驶人注视行为特征变化规律,文中选取20名被试驾驶人在武汉公铁隧道内分流区路段开展实车实验,对驾驶人注视区域进行划分,分析驾驶人经分流区进入主线和匝道两条路线时的注视行为时间特性和空间特性.结果表明:驾驶人进入主线时注视点的水平分布相较驶入匝道时广阔,但两种路径下驾驶人对中心区域的平均注视时间和时间分配比例最多,驾驶人获取并处理该区域交通信息的难度最大;注视平稳后,车辆驶入主线时驾驶人注视点80%以上集中于近处路面区域、中心区域和左侧区域,而车辆驶入匝道时驾驶人注视点60%以上集中于右侧区域和远处顶部区域. 展开更多
关键词 隧道分流区 注视行为特性 马尔可夫链 交通安全
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Recognition of suspicious behavior using case-based reasoning 被引量:2
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作者 夏利民 杨宝娟 涂宏斌 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第1期241-250,共10页
A novel method case-based reasoning was proposed for suspicious behavior recognition. The method is composed of three departs: human behavior decomposition, human behavior case representation and case-based reasoning.... A novel method case-based reasoning was proposed for suspicious behavior recognition. The method is composed of three departs: human behavior decomposition, human behavior case representation and case-based reasoning. The new approach was proposed to decompose behavior into sub-behaviors that are easier to recognize using a saliency-based visual attention model. New representation of behavior was introduced, in which the sub-behavior and the associated time characteristic of sub-behavior were used to represent behavior case. In the process of case-based reasoning, apart from considering the similarity of basic sub-behaviors,order factor was proposed to measure the similarity of a time order among the sub-behaviors and span factor was used to measure the similarity of duration time of each sub-behavior, which makes the similarity calculations more rational and comprehensive.Experimental results show the effectiveness of the proposed method in comparison with other related works and can run in real-time for the recognition of suspicious behaviors. 展开更多
关键词 visual attention mode case-based reasoning suspicious behavior order factor span factor
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