Computational Model of Situation Awareness for Decision Making in Driving

Abstract

Driving is defined as a process of moving from one destination to another with the main aim to get to the destination safely. There are existing computational models of situation awareness in various domains, however, none has been considered in driving domain. This study proposes a computational, situation awareness model to assist drivers in effective decision-making. The model incorporates dynamic factors based cognitive and psychology theories that will influence decision making in driving domain. To illustrate the proposed model, simulation scenarios based on overtaking maneuvers have been conducted. The experimental results show that the external factors attention and expectation have effects on the safe and risky driving behavior and by suggestion on the driver’s confidence level to perform the overtaken maneuvers. Moreover, this model has been verified using an automated verification tool by checking its traces with the existing results from the literature.