Simulation Analysis on Driving Behavior during Traffic Sign Recognition

  • Lishan Sun
  • , Liya Yao*
  • , Jian Rong
  • , Jinyan Lu
  • , Bohua Liu
  • , Shuwei Wang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)353-360
Number of pages8
JournalInternational Journal of Computational Intelligence Systems
Volume4
Issue number3
DOIs
Publication statusPublished - May 2011

Keywords

  • Cognitive task
  • Driving behavior
  • Road safety
  • Traffic sign

Fingerprint

Dive into the research topics of 'Simulation Analysis on Driving Behavior during Traffic Sign Recognition'. Together they form a unique fingerprint.

Cite this