Estimation of Human s Performance in Automobile Driving

Abstract

The combination of increasing population,growing demand for mobility, and limited funds<br><br>and real estate for building new roads places a strain on the current transportation infrastructure. It<br><br>seems that the vehicle control scheme should be changed. In order to this, it is necessary to design a<br><br>machine or intelligent system that can cooperate with human in automobile driving. The roll of the<br><br>machine depends on the human s behaviour. If human drives correctly, the machine command should<br><br>not be effective, but, if he couldn t drive carefully for any reason, the roll of the machine would be<br><br>more effective. Therefore, at first it should define a function that express the human s behavior within<br><br>automobile driving. The goal of this paper is introducing a method which can estimate the human s<br><br>performance within automobile driving. These data determine the level of human and machine<br><br>autonomy. Fuzzy logic is used for human s behaviour simulation and for vehicle modelling, the single<br><br>track bicycle model is used