Barbara Metzger

Technical University of Munich | TUM · Chair of Traffic Engineering and Control

An accurate knowledge and prediction of actual freeway traffic conditions is essential for efficient traffic management, safety, and planning. To this end, knowing which traffic state, i.e. free-flow or a specific congestion pattern, is prevailing is the crucial basis for any analysis. This paper presents a bidirectional Long Short-term Neural Netw...

Network management systems (German: Netzbeeinflussungsanlagen - NBA) are one possibility to manage traffic in the road network optimally in accordance with the existing traffic loads and travel times, especially in the event of disturbances in the traffic flow. The methods currently used for impact assessment of NBA based on the guideline “Hinweise...

An accurate prediction of actual traffic conditions on freeways is essential for efficient traffic management, safety, and planning. To this end, the knowledge on which traffic state or more exactly which congestion pattern is prevailing, is the crucial basis for any analysis. In this paper, we propose two models, a standard neural network (NN) and...

This paper presents the goals of the German TEMPUS research project in and around the city of Munich and describes the test field that is being created as part of it. The project will test and evaluate the impact of connected and automated driving in urban and rural environments. For this purpose, a cross-area test field, which includes inner-city...

This paper presents an approach that increases the resilience of a freeway network while differentiating patterns of freeway congestion events and investigating hot spots of each pattern both spatially and temporally. Based on an automated pattern recognition, an emerging congestion event can be identified and classified into one of four predefi...

Predicting freeway traffic states is, so far, based on predicting speeds or traffic volumes with various methodological approaches ranging from statistical modeling to deep learning. Traffic on freeways, however, follows patterns in space-time like stop and go waves or mega jams. These patterns by itself are informative because they propagate in sp...

Verkehrsstaus haben verschiedenste Ursachen und sollten daher differenziert betrachtet werden, um die Verkehrssteuerung zu optimieren. Eine gute Verkehrsanalyse ist die Voraussetzung für eine Verbesserung des Individualverkehrs. In diesem Artikel werden die Definitionen von vier verschiedenen Stautypen, (a) Stauwelle, (b) Stop&Go, (c) Breiter Stau...