Route Traffic Flow Estimation by Observing Staying People

Abstract

Estimating the number of people traveling by route is an important task in transportation research. We propose a new method that utilizes the number of people staying and passing to estimate the number of people traveling by route with high accuracy. By using artificial data, we demonstrate that the error rate of the proposed method is smaller than the conventional method. In addition, the analysis of read-world data are shown.