Dynamic Recognition Model of Driver’s Propensity under Multilane Traffic Environments
Joint Authors
Wang, Xiaoyuan
Zhang, Jinglei
Liu, Jin
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-26
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Driver’s propensity intends to change along with driving environment.
In this paper, the situation factors (vehicle groups) that affect directly the driver’s affection among environment factors are considered under two-lane conditions.
Then dynamic recognition model of driver’s propensity can be established in time-varying environment through Dynamic Bayesian Network (DBN).
Physiology-psychology experiments and real vehicle tests are designed to collect characteristic data of driver’s propensity in different situations.
Results show that the model is adaptable to realize the dynamic recognition of driver’s propensity type in multilane conditions, and it provides a theoretical basis for the realization of human-centered and personalized automobile active safety systems.
American Psychological Association (APA)
Wang, Xiaoyuan& Liu, Jin& Zhang, Jinglei. 2012. Dynamic Recognition Model of Driver’s Propensity under Multilane Traffic Environments. Discrete Dynamics in Nature and Society،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-462369
Modern Language Association (MLA)
Wang, Xiaoyuan…[et al.]. Dynamic Recognition Model of Driver’s Propensity under Multilane Traffic Environments. Discrete Dynamics in Nature and Society No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-462369
American Medical Association (AMA)
Wang, Xiaoyuan& Liu, Jin& Zhang, Jinglei. Dynamic Recognition Model of Driver’s Propensity under Multilane Traffic Environments. Discrete Dynamics in Nature and Society. 2012. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-462369
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-462369