Open AccessDriver's various information process and multi-ruled decision-making mechanism: a fundamental of intelligent driving shaping model
Author(s) -
Wuhong Wang,
Yan Mao,
Peter J. Jin,
Xiao Wang,
Hongwei Guo,
Xuemei Ren,
Katsushi Ikeuchi
Publication year - 2011
Publication title -
international journal of computational intelligence systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.385
H-Index - 41
eISSN - 1875-6891
pISSN - 1875-6883
DOI - 10.1080/18756891.2011.9727786
Subject(s) - process (computing) , computer science , mechanism (biology) , acceleration , control (management) , cognition , work (physics) , decision making , simulation , artificial intelligence , engineering , operations management , psychology , mechanical engineering , philosophy , physics , epistemology , classical mechanics , neuroscience , purchasing , operating system
The most difficult but important problem in advance driver assistance system development is how to measure and model the behavioral response of drivers with focusing on the cognition process. This paper describes driver's deceleration and acceleration behavior based on driving situation awareness in the car–following process, and then presents several driving models for analysis of driver's safety approaching behavior in traffic operation. The emphasis of our work is placed on the research of driver's various information process and multi-ruled decision-making mechanism by considering the complicated control process of driving; the results will be able to provide a theoretical basis for intelligent driving shaping model.
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