Simulation Analysis on Driving Behavior during Traffic Sign Recognition

被引：0
|
作者：
Sun, Lishan [2 ]
Yao, Liya [1 ]
Rong, Jian [2 ]
Lu, Jinyan [3 ]
Liu, Bohua [2 ]
Wang, Shuwei [2 ]
机构：
[1] Beijing Inst Technol, Sch Mech & Vehicular Engn, Beijing 100081, Peoples R China
[2] Beijing Univ Technol, Key Lab Traff Engn, Beijing 100124, Peoples R China
[3] Florida Int Univ, Dept Civil & Environm Engn, Miami, FL 33174 USA
来源：
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS | 2011年 / 4卷 / 03期
关键词：
Road safety; Driving behavior; Cognitive task; Traffic sign; SAFETY; PERFORMANCE; DRIVERS; LOCATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The traffic signs transfer trip information to drivers through vectors like words, graphs and numbers. Traffic sign with excessive information often makes the drivers have no time to read and understand, leading to risky driving. It is still a problem of how to clarify the relationship between traffic sign recognition and risky driving behavior. This paper presents a study that is reflective of such an effort. Twenty volunteers participated in the dynamic visual recognition experiment in driving simulator, and the data of several key indicators are obtained, including visual cognition time, vehicle acceleration and the offset distance from middle lane, etc. Correlations between each indicator above are discussed in terms of risky driving. Research findings directly show that drivers' behavior changes a lot during their traffic sign recognition.
引用
收藏
页码：353 / 360
页数：8
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