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A Regenerative Life Support System (RLSS) is a system that establishes self-sustained material recycling and circulation within a space base on the Moon or Mars. This is a large-scale and complicated system comprising a lot of components such as humans, plants and material circulation system. A RLSS contains many factors with uncertainty, such as dynamics of plants and humans, and failure and performance deterioration of devices. In addition, a RLSS is a large-scale and complicated system extending gradually. An environment with uncertainty or a large-scale and complicated system may not be properly addressed by a centralized system. In particular, such a system cannot always gather accurate information in one center in a frequently shifting environment, thus appropriate processing may be difficult. Therefore, we tried autonomous decentralization of information or decision-making using a Multi-Agent System (MAS).

This paper deals with the steering system with conventional round steering-wheel from the view point of Steer-by-Wire system design. Steering gear ratio and control force characteristics are selected as interface variables of the steering system. The concept of ideal steering gear ratio which is derived on the basis of mapping of steering wheel angle and vehicle path angle is proposed to determine steering gear ratio. Simulator experiments are conducted to investigate the effects of interface variables on system and driver’s control performance. Validity of proposed ideal steering gear ratio would be confirmed. Candidates for objective task performance measure to define desirable control force characteristics would be determined from the test results.

In motorcycles, the mass difference between a vehicle and a rider is small and motions of a rider impose a great influence on the vehicle behaviors as a consequence. Therefore, dynamic properties of motorcycles should be evaluated not merely dealing with a vehicle but considering with a man-machine system. In the studies of a simulation for vehicle dynamics, various types of rider models have been proposed and it has already been reported that rider motions have a significant influence on the dynamic properties. However, the mechanism of the interaction between a rider and a vehicle has not been clarified yet. In our study, we focused on weave motion and constructed a full vehicle simulation model that can reflect the influences of the movements of the rider’s upper body and lower body. To construct the rider model, we first measured the vibrational characteristics of a human body using a vibration test bench.

The educational systems for driving vehicle are recently progressing every year like aircraft simulator. To know the learning process of training are very important for designing total education system. Therefore this research considers the methodologies of measuring human learning process when the beginner rider practicing by using motorcycle simulator. Here, a motorcycle needs the proper manipulating practice in the event of first riding because the manipulation use both hands and feet with keeping balance. For this reason in this paper it is considered the methodologies of measuring rider learning effectiveness by recording rider behavior and motorcycle movement.

This paper describes a fundamental design for a riding simulator of two wheeled vehicle which is used to analyze the human factor of riders. At the first step of this research, the relationship between the movement of rider and behavior of a two wheeled vehicle is inquired with experiments on a proving ground. Based on the results, the degrees of freedom which is required by simulator and main input of rider are settled. This study goes along examination of the expression method of simulated movements, and production of the riding simulator.