Extraction and Recognition Methods of Vehicle Driving Tendency Feature Based on Driver vehicle-environment Dynamic Data under Car Following

DOI

10.2991/ijcis.2011.4.6.19How to use a DOI?

Abstract

Driving tendency is the comprehensive embodiment of driver's physiological and psychological characteristics. It reflects driver's psychological condition during the process of driving. Identification of the driving tendency has great significance to researching of the driver assistant system, especially the active security warning system. In this paper, data from simulative driving and real driving experiment of different drivers (risk-taking, cautious and conservative type, etc) under the state of car-following flow are obtained through questionnaires on psychological test. The feature eigenvectors with good ability to classify the type of driving tendency is extracted based on rough set theory. Dynamic recognition method of driving tendency is put forward with model calibration and verification making use of real data. The results of verification are compared with the results of the questionnaires. It is shown that the pattern recognition model is feasible, and can realize real-time recognition of the driver tendency under the state of car-following.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Xiaoyuan Wang
AU  - Jinglei Zhang
PY  - 2011
DA  - 2011/12/01
TI  - Extraction and Recognition Methods of Vehicle Driving Tendency Feature Based on Driver vehicle-environment Dynamic Data under Car Following
JO  - International Journal of Computational Intelligence Systems
SP  - 1269
EP  - 1281
VL  - 4
IS  - 6
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.6.19
DO  - 10.2991/ijcis.2011.4.6.19
ID  - Wang2011
ER  -