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A driver's steering control was modeled by using an idea of target position. The proposed model dealt with the driver's decision-making mechanisms in tracking a target position by means of neuro-fuzzy system. Here, a cubic B-spline curve was employed to generate more flexible paths of lane- change to a target position. Additionally, a learning algorithm, utilizing local linear networks in the corresponding...
Acquiring the real-time information about traffic flow is one of the important steps toward the realization of ITS. In this paper, we propose a real-time traffic prediction model with warm start by integrating an accurate on-line support vector regression (AOSVR) with a corrected on-line learning algorithm that is used for improving computational rate. The forecasting implementation has showed that...
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