Cooperative Cars - CoCar
|Research field||Model Management|
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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- Evaluating Concept Drift in Traffic Applications based on Data Streams (Running)
- Evaluation of Sampling Techniques for Data Stream Classification (Running)
- Real-time Map Matching in Car-To-X Applications (2012)
- A Framework for Objective Interestingness Measure Selection in Association Rule Mining (2012)
- Ontology-based Data Quality Framework for Data Stream Applications (2011)
- Evaluation Framework for Data Stream Mining Algorithms for Traffic State Estimation in a Data Fusion Architecture (2010)
- Data Quality Management for Traffic Monitoring Systems based on Wireless Location Technology (2009)
Evaluation of Real-time Traffic Applications based on Data Stream Mining
Published in Data Mining for Geoinformatics: Methods and Applications, to appear
An Evaluation Framework for Traffic Information Systems Based on Data Streams
Published in Transportation Research Part C, Special Issue on Data Management in Vehicular Networks, Volume 23, August 2012, pp. 29–55
Ontology-based Data Quality Framework for Data Stream Applications
Published in Proc. of the 16th International Conference on Information Quality, November 2011, Adelaide, AUS
A Data Stream-based Evaluation Framework for Traffic Information Systems
Published in ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS) 2010, November 2, 2010, San Jose, CA, USA
Accuracy Assessment for Traffic Information Derived from Floating Phone Data
Published in 17th Intelligent Transportation Systems and Services World Congress, Busan, South Korea, 2010.
View Management Techniques and Their Application to Data Stream Management
Published in P. Furtado (ed.): Evolving Application Domains of Data Warehousing and Mining - Trends and Solutions, Information Science Reference, pp. 83-112, 2009.
A quality- and priority-based traffic information fusion architecture
Published in Proc. of the 16th ITS World Congress Stockholm 2009