Visual Analytic Method for Metro Anomaly Detection and Diffusion

Abstract EN

With the rapid development of urbanization in recent years, thousands of people have flooded into the city, which has brought tremendous pressure on the supervision and operation of relevant traffic management departments.

In particular, the unexpected events in the urban rail transit system have caused great troubles for city managers.

Aiming at the problem of abnormal passenger flow in the metro, this paper proposes a visual analytic method to support the abnormal passenger flow detection, verification, and diffusion analysis in the metro system.

The method provides an intuitive visual metaphor and allows users to perform simple interactive operations to verify abnormal passenger flow.

In addition, the method reveals the diffusion law of abnormal passenger flow in time and space in a two-dimensional diffusion view.

The Beijing Rail Transit AFC data are used to validate the developed system, and two reliable analysis cases are presented.

The system can help users quickly grasp the abnormal propagation rules and help them to develop different scheduling strategies for different anomalous propagation paths.