Publications

Books and Book Chapters

2015

  • An Organic Computing Approach to Resilient Traffic Management
    Matthias Sommer, Sven Tomforde, Jörg Hähner
    Autonomic Road Transportation Systems. Birkhäuser Verlag, Basel, Swiss
    Springer Amazon

2013

  • Benchmarking von selbstorganisierenden Systemen
    Matthias Sommer
    AV Akademikerverlag, ISBN-13: 978-3-639-46226-5, pages: 136
    Amazon

Conferences and Workshops

2017

  • Learning Classifier Systems for Road Traffic Congestion Detection
    Matthias Sommer; Jörg Hähner
    In: Proc. of the International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), April, Porto, Portugal
  • Adapting Signal Timings to Automated Incident Alarms within a Self-organised Traffic Control System
    Matthias Sommer; Jörg Hähner
    In: Proc. of the International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), April, Porto, Portugal

2016

  • Local Ensemble Weighting in the Context of Time Series Forecasting Using XCSF
    Matthias Sommer; Anthony Stein; Jörg Hähner
    In: Proc. of the IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL 2016), December, Athen, Greece
  • Ensemble Time Series Forecasting with XCSF
    Matthias Sommer; Anthony Stein; Jörg Hähner
    In: Proc. of 10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2016), September, Augsburg, Germany
  • Predictive Load Balancing in Cloud Computing Environments based on Ensemble Forecasting
    Matthias Sommer; Michael Klink; Sven Tomforde; Jörg Hähner
    In: Proc. of the the 13th IEEE International Conference on Autonomic Computing (ICAC 2016), July, Würzburg, Germany
  • Anticipatory adaptation of signalisation based on traffic flow forecasts within a self-organised traffic control system
    Matthias Sommer; Jörg Hähner
    In: Proceedings of the 5th International Conference on Transportation and Traffic Engineering (ICTTE 2016), July, Luzern, Swiss
  • Forecast-augmented Route Guidance in Urban Traffic Networks based on Infrastructure Observations
    Matthias Sommer; Sven Tomforde; Jörg Hähner
    In: Proc. of the 2nd International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), April, Rom, Italy
    Scitepress

2015

  • Learning a Dynamic Re-combination Strategy of Forecast Techniques at Runtime
    Matthias Sommer, Sven Tomforde, Dominik Auer, Jörg Hähner
    In: ICAC / SISSY (Self-Improving System Integration) Workshop, IEEE Computer Society Press, Proc. of IEEE International Conference on Autonomic Computing (ICAC), pp. 261-266.
  • A Systematic Study on Forecasting of Traffic Flows with Artificial Neural Networks
    Matthias Sommer; Sven Tomforde; Jörg Hähner
    In: Proc. of the 28th GI/ITG International Conference on Architecture of Computing Systems – ARCS Workshops, March, Porto, Workshop on Self-Optimisation in Organic and Autonomic Computing Systems (SAOS15), VDE Verlag, ISBN 978-3-8007-3657-7
    IEEE

2014

  • Learning to Predict: Automated Management and Correction of Prediction Techniques for Traffic Flows within a Self-organised Traffic Control System
    Sven Tomforde, Matthias Sommer, Jörg Hähner
    In: 11th International Congress on Advances in Civil Engineering (ACE14), Octobre, Istanbul, Turkeyr

2013

  • Resilient Traffic Management with Organic Computing Techniques
    Matthias Sommer, Sven Tomforde, Jörg Hähner
    In: Proc. of the 1st International Systems Competition on Autonomic Features and Technologies for Road Traffic Flow Modeling and Control Systems, held together with the 16th International IEEE Conference on Intelligent Transport Systems (IEEE-ITS13), The Hague, Netherlands, (Winner of the ARTS Competition at IEEE-ITS13)
  • Using a Neural Network for Forecasting in an Organic Traffic Control Management System
    Matthias Sommer, Sven Tomforde, Jörg Hähner
    In: International Workshop on Embedded Self-Organizing Systems (ESOS ’13), 10th International Comference on Autonomic Computing (ICAC ’13), June, San Jose, Kalifornien
    Usenix

2012

  • A Generic Framework for Simulating the EEX Power Market in Agent-Based Energy Management Applications
    Florian Siefert; Gerrit Anders; Matthias Sommer; Wolfgang Reif
    In: Proc. of the Power and Energy Student Summit 2012

Technical Reports

2016

  • Dynamic ensemble forecasting of traffic flow by means of machine learning techniques
    Matthias Sommer; Sven Tomforde
    In: Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg
    University of Augsburg
  • Concepts for Resilient Traffic Management based on Organic Computing
    Matthias Sommer; Sven Tomforde
    In: Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg
    University of Augsburg

Others (Interviews / Newspaper)

2015

  • Forecast-based Route Recommendations in Organic Traffic Control
    Matthias Sommer; Sven Tomforde; Jörg Hähner
    In: Proc. of the 28th GI/ITG International Conference on Architecture of Computing Systems – ARCS Workshops, March, Porto, Portugal, pp. 11 – 12 (ARCS 2015 Best Poster Award).

2014

  • “Im Zeichen der Grünen Welle”
    Matthias Sommer, Sven Tomforde
    Interview, Augsburger Allgemeine (3. Forschungsausgabe), July

2013

  • Towards a Decentralized Intelligent Traffic Management System
    Matthias Sommer
    Proc. of the First Organic Computing Doctoral Dissertation Colloquium (OC-DDC’13), pp. 34 – 37, June (Universität Augsburg, Institut für Informatik)