Search Results

In order to improve the driver's experiences such as driving pleasure, it is important to evaluate the relationship between various vehicle characteristics and the driver's feeling. Although methods such as sensory subjective evaluation are commonly used, the mechanism behind them is not yet fully understood. In this paper we introduce a novel method for evaluating driving pleasure based on the numerical simulation of the driver's learning process. As an example of this method we evaluate the relationship between mechanical property of steering system and pleasure felt during the driver's learning process. One possible method to simulate the driver's learning process is machine learning. Reinforcement learning has been studied for simulating the human's brain function to learn [1]. We use machine learning to create the reinforcement learning driver model, and a simple vehicle simulation model which are combined as a human-vehicle model.