[1D5-GS-10] AI application: Movement

[1D5-GS-10-02] Anomaly Detection of Traffic Flow with Probe Data Behavior History.

〇Ryoma Nakamura¹, Masaki Matsudaira², Daisuke Okuya¹ (1. Oki Electric Industry Co., Ltd., 2. Oki Consulting Solutions Co., Ltd.)

Keywords:Anomaly detection, Traffic, Probe data

We are studying a method to detect traffic flow anomalies using probe data. This is expected to achieve early and automatic detection of traffic anomalies as an alternative to human monitoring. This paper proposes a method to detect anomalies using probe data and reports the results of applying the proposed method to actual probe data. The proposed method detects anomalies through three major decision processing stages. First, the occurrence of traffic congestion is determined from the speed of the probe data. Then it considers whether there has been a sudden increase in vehicles making sudden brakes or turn at that location. Finally, it checks whether the congestion is due to traffic concentration based on past statistics, and if it is not determined to be congestion due to traffic concentration, an anomaly is reported. The results of the evaluation of our methods with acutual data confirmed that the method can detect anomalies with high precision, and that anomalies can be detected at timings equivalent to human surveillance in most traffic anomalies.