Timeline: 2016-2017
Keywords: Extraordinary queuing; Probe-vehicle Data; Anomaly Detection
Team participants: Francisco C. Pereira, Filipe Rodrigues, Inon Peled, Iñigo Reiriz;
Lead Organization: DTU

Research highlights

• Develop extraordinary queuing detections methodology.
• Optimize anomaly detection algorithm using data from the DRD.
• Proposed system is currently used in production by the DRD to monitor extraordinary queueing situations.

Description

The aim of this project is to help the Danish Road Directorate (DRD) in identifying extraordinary queueing situation in the main roads of Denmark (Road Network Level 1) using probe-vehicle data provided by INRIX. The approach consists of anomaly detection algorithms that were optimized based on data provided by the DRD. The developed methodology is currently used in production in the DRD’s traffic tower to constantly monitor the conditions of the Danish road network and detect extraordinary queueing situations.

Sponsors and Partners

• Danish Road Directorate (DRD, Sponsor)