AIM Research Intersection: Instrument for traffic detection and behavior assessment for a complex urban intersection

Authors

  • Sascha Knake-Langhorst German Aerospace Center
  • Kay Gimm German Aerospace Center

DOI:

https://doi.org/10.17815/jlsrf-2-122

Abstract

The Research Intersection as part of Test field AIM (Application Platform for Intelligent Mobility) is a field instrument for detection and assessment of traffic behavior for a complex urban intersection in the city of Braunschweig, Germany. It serves as tool for the purpose of analyzing natural traffic behavior and phenomena, e.g. in safety related traffic situations, based on empirically observed trajectories. Thus, the facility can be used for a number of applications in the field of intelligent mobility services.

References

Knake-Langhorst, S. & Gimm, K. & Köster, F. (2015): AIM Forschungskreuzung - Baustein für den Aufbau von kooperativer Fahrerassistenz und Automation. In: Intelligente Transport- und Verkehrssysteme und -dienste Niedersachsen (Hg.): AAET - Automatisierungssysteme, Assistenzsysteme und eingebettete Systeme für Transportmittel. Braunschweig: ITS Niedersachsen, S. 117–136.

Knake-Langhorst, S., Gimm, K.., Frankiewicz, T. & Köster, F. (2016). Test Site AIM – Toolbox and Enabler for Applied Research and Development in Traffic and Mobility. To be published in: Transportation Research Procedia.

Schnieder, L. & Lemmer, K. (2012): Anwendungsplattform Intelligente Mobilität – eine Plattform für die verkehrswissenschaftliche Forschung und die Entwicklung intelligenter Mobilitätsdienste. Published in: Internationales Verkehrswesen 64(4), 62-63.

Schnieder, L. & Lemmer, K. (2014): Entwicklung intelligenter Mobilitätsdienste im realen Verkehrsumfeld in der Anwendungsplattform Intelligenten Mobilität. Published in: Internationales Verkehrswesen 66(2), 77-79.


Cite article as: DLR Institute of Transportation Systems. (2016). AIM Research Intersection: Instrument for traffic detection and behavior assessment for a complex urban intersection. Journal of large-scale research facilities, 2, A65. http://dx.doi.org/10.17815/jlsrf-2-122

Published

2016-04-12

Issue

Section

Articles

URN