A Highway-Driving System Design Viewpoint using an Agent-based Modeling of an Affordance-based Finite State Automata

This paper presents an agent-based modeling framework for affordance-based driving behaviors during the exit maneuver of driver agents in human-integrated transportation problems. We start our discussion from one novel modeling framework based on the concept of affordance called the Affordance-based Finite State Automata (AFSA) model, which incorporates the human perception of resource availability and action capability. Then, the agent-based simulation illustrates the validity of the AFSA framework for the Highway-Lane-Driver System. Next, the comparative study between real driving data and agent-based simulation outputs is provided using the transition diagram. Finally, we perform a statistical analysis and a correlation study to analyze affordance-based driving behavior of driver agents. The simulation results show that the AFSA model well represents the perception-based human actions and drivers??? characteristics, which are essential for the design viewpoint of control framework of human driver modeling. This study is also expected to benefit a designed control for autonomous/self-driving car in the future

Simulation of an affordance-based human-machine cooperative control model using an agent-based simulation approach

An automated system relies mostly on a robot, rather than a human operator. In the automated system considered in this paper, a human operator mainly verifies the product quality, where the performance of the human is affected by his or her characteristics. To present this kind of system, an ABM is better than DES to simulate the role of the human operator. This is because the human characteristics are dynamic and are affected significantly by time and environment. This paper presents a DES-ABM model which simulates the performance of a human operator in a human-machine cooperative environment. It may enable this model to be utilized for further development in controller toward the supervisory control