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Informatik 5
Information Systems
Prof. Dr. M. Jarke
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Cooperative Cars - CoCar


Manager(s)
Research field Big Data & Model Management
Start date 2008/08/01
End date 2011/05/31
Status completed
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Joint project between Ericsson in Aachen and Fraunhofer FIT

The Cooperative Cars (CoCar) project and its successor CoCarX, funded by the German Federal Ministry for Research and Education, investigated the suitability of UMTS technologies and their foreseeable extensions (LTE) for direct, targeted transmission of traffic data arising from both stationary and vehicle-based sensors. The CoCar project is a part of the research initiative Adaptive and Cooperative Technologies for the Intelligent Traffic (AKTIV) led by the German automotive industry. Five partners from telecommunications and automobile industry identified which traffic management and driver assistance applications are suitable for use of this technology.

Informatik 5 cooperated in this project with Ericsson in Aachen and Fraunhofer FIT and develop data models, algorithms and systems for the data management of cooperative vehicle applications. One focus is the research on a data quality model to simulate and estimate the effect of various parameters in data acquisition and processing for traffic state estimation and forecasting. Furthermore, we investigate data stream management systems as the core component for the data management, and we study data stream mining algorithms for the traffic state estimation. Also data quality monitoring during the whole data management process is an important aspect we implemented in the framework.

Demonstration Video - Queue-end Detection

At the CoCarX final presentation in Düsseldorf (see also http://dbis.rwth-aachen.de/cms/news/chairnews.2011-06-14.6672946615) we presented the video below demonstrating our work on the framework including the data stream management system GSN (Global Sensor Network) and the data stream mining framework MOA (Massive Online Analysis). We utilized the traffic simulation software VISSIM to simulate the vehicles, to generate the Cooperative Car messages, and to visualize the scenarios. This work has been supported by the German Federal Ministry for Research and Education (BMBF) and is part of the research initiative aktiv. Especially, we like to thank for their support: Ericsson, PTV AG, and Stefan Schiffer (Knowledge-Based Systems Group (KBSG), RWTH-Aachen University)

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Links

http://www.aktiv-online.org/englisch/aktiv-cocar.html
http://www.aktiv-online.org/deutsch/aktiv-cocarX.html

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