A Fundamental Study of Anomaly Detection Method for Railway Operation Status Based on Human Flow Data

Abstract

In this paper, we study an anomaly detection method for human flow which is significantly different from normal cases due to accidents or natural disasters. Human flow can be assumed to have typical patterns such as going to work and leaving work in the daily life of the people. Developing an anomaly detection method can lead to the discovery of the hidden cause. In this paper, we study a method which aims to detect anomalies in human flow, taking as an example in operation status of railways. We confirmed that our method detects actual suspension of operations.