A Highway-Driving System Design Viewpoint Using an Agent-Based Modeling of an Affordance-Based Finite State Automata

被引:15
|
作者
Ransikarbum, Kasin [1 ]
Kim, Namhun [2 ]
Ha, Sangho [2 ]
Wysk, Richard A. [3 ]
Rothrock, Ling [4 ]
机构
[1] Ubonratchathani Univ, Dept Ind Engn, Ubon Ratchathani 34190, Thailand
[2] Ulsan Natl Inst Sci & Technol, Dept Syst Design & Control Engn, Ulsan 44919, South Korea
[3] North Carolina State Univ, Dept Ind & Syst Engn, Raleigh, NC 27606 USA
[4] Penn State Univ, Dept Ind & Mfg Engn, State Coll, PA 16802 USA
来源
IEEE ACCESS | 2018年 / 6卷
关键词
Agent-based modeling; affordance; finite state automata; driving behavior; human-machine interactions; SIMULATION; BEHAVIOR;
D O I
10.1109/ACCESS.2017.2782257
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 paper is also expected to benefit a designed control for autonomous/self-driving car in the future.
引用
收藏
页码:2193 / 2205
页数:13
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