Driver's various information process and multi-ruled decision-making mechanism: a fundamental of intelligent driving shaping model
Year: 2011
Type: article
Abstract: 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.
Authors: Wuhong Wang, Yan Mao, Jing Jin, Xiao Wang, Hongwei Guo, Xuemei Ren, Katsushi Ikeuchi
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,490
Award: G5055183395
OpenAlex ID: W2093741065