Estimation Method of Traffic Volume in Provincial City Using Big-Data

Abstract

Traffic jams have recently become a significant problem in provincial cities in Japan, which tend to have poor railway services. Therefore, the main means of transportation are public buses, taxies, and private vehicles. Moreover, traffic accidents and road construction sites frequently block traffic. It is therefore difficult to estimate the travelling time from to in real-time. To estimate the travelling time, we must predict the behaviors of many vehicles that depend on an origin to destination (OD) traffic volume. In our previous study, we proposed an estimation method for OD traffic volume using two types of big-data, a road traffic census and mobile spatial statistics. In this study, we evaluated our proposed method on various situations through a traffic simulation.