Abstract
In recent years, due to the improvement in facilities and services at expressway rest areas, parking demand tends to concentrate on the specific rest areas and hereby serious parking congestion occurs. As one of countermeasures, expressway companies have provided information of parking congestion at expressway rest area to the drivers traveling on the expressway by information board, to encourage drivers to use the rest areas with relatively low congestion. However, the quality of information is not high enough because of the gap between point in time at which drivers obtain the information and the one at which they arrive at the corresponding rest area. In order to improve the quality of information, this study is aimed at developing a model of prediction of parking rate at expressway rest area, using parking situation data of rest areas and traffic volume data of main line. We apply the prediction model for some rest areas on Shin-Tomei Expressway in order to analyze the how much improvement can be obtained.
