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Simulation Analysis on Driving Behavior during Traffic Sign Recognition

Authors :
Lishan Sun
Liya Yao
Jian Rong
Jinyan Lu
Bohua Liu
Shuwei Wang
Source :
International Journal of Computational Intelligence Systems, Vol 4, Iss 3 (2011)
Publication Year :
2011
Publisher :
Springer, 2011.

Abstract

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.

Details

Language :
English
ISSN :
18756883
Volume :
4
Issue :
3
Database :
Directory of Open Access Journals
Journal :
International Journal of Computational Intelligence Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.fc77a6f907f7445eb5f94338276c0f32
Document Type :
article
Full Text :
https://doi.org/10.2991/ijcis.2011.4.3.9