Masakazu Furuichi

Design and implementation of parallel and distributed wargame simulation system

Simulation based education and training, especially wargame simulations are being widely used in the field of defence modeling and simulation communities. In order to efficiently train students and trainees, the wargame simulations must have both high performance and high fidelity. In this paper, we discuss design and implementation issues for a tentative wargame simulation on a distribution system. This wargame simulation system is based on high-level architecture and employs optimization to achieve a high performance and high fidelity simulation system.

Development of an Effective Pedestrian Simulator for Research

According to the US Department of Transportation, in 2013 14 % of all traffic fatalities were pedestrians. In Japan, 38.4 % of 2015 traffic fatalities were pedestrians. Studying pedestrian behavior is an important step in preventing pedestrian fatalities on the road. However, to investigate pedestrian behavior, several factors need to be considered. First and foremost, the safety of the participants must be assured. Second, the study environment needs to be controlled to prevent confounding variables and allow for repeated trials. Finally, the costs to develop and perform the study must also be minimized. To address these obstacles, we propose the implementation of a virtual reality (VR)-based simulator for studies of behavior and task performance with full motion. This simulator is composed of a Unity 5 environment, Oculus Rift VR headset, and Kinect or motion capture based position tracking. In this paper, we will discuss the development of the simulator, limitations, and future work.

An Applicability of ABC Method to Inverse Simulation and Application to Triage Simulation

We proposed TRISim, a multi-agent simulation tool, to study hospital triage operation methods. By inputting various combinations of model parameters, we can obtain the results to explore the correlation between parameters. We can derive an optimum set of parameters by exploring many parameters manually, but this is a time-consuming task. Herein, we propose Inverse TRISim, a method to automate the task of finding an optimal combination of parameters using the artificial bee colony (ABC) algorithm.