OTC/en
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Organic Traffic Control |
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It is the goal of the Organic Computing initiative to investigate emergent and self-organizing phenomena and their practical usability in technical systems. Such a technical system is characterized by a large population of relatively autonomous agents, acting and learning predominantly in their local context with some limited sensory horizon, and the co-operation of these agents to solve a global problem. Traffic control is a promising field to apply this technique. Within the project Organic Traffic Control (OTC) we will use a network of adaptive learning traffic light controllers to study the possibilities and limitations of organic decentralized control systems. The project will follow two complementary approaches to the learning problem with the goal to combine both in one system: Online learning controllers will adapt their behaviour based on Learning Classifier Systems receiving direct feedback from the environment. Simulation-based offline optimization will try to find optimal control parameters by using evolutionary algorithms within a simulated environment focussing on the design of robust solutions. A combination of both ideas will use offline optimization to coarsely search the parameter space while online learning will be responsible for local fine-tuning. Both approaches will be implemented and compared using a simulated city environment.
from: 1 Juli 2005
until: 30 Juni 2007
Funding: DFG
Evolutionary Computing, Organic Computing, Machine Learning, Global Optimization, Evolutionary Strategies, Genetic Algorithms, Evolutionary Optimization Of Dynamic Problems, Nature-inspired Algorithms, Human Computer Systems
Inhaltsverzeichnis
article
Holger Prothmann, Jürgen Branke, Hartmut Schmeck, Sven Tomforde, Fabian Rochner, Jörg Hähner, Christian Müller-Schloer
Organic traffic light control for urban road networks
International Journal of Autonomous and Adaptive Communications Systems, 2, (3), pages 203-225, 2009
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inproceedings
Jürgen Branke, Moez Mnif, Christian Müller-Schloer, Holger Prothmann, Urban Richter, Fabian Rochner, Hartmut Schmeck
Organic Computing - Addressing Complexity by Controlled Self-Organization
In Tiziana Margaria, Anna Philippou, and Bernhard Steffen, Post-Conference Proceedings of the 2nd International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (ISoLA 2006), pages: 185-191, IEEE, November, 2006
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Jürgen Branke, Peter Goldate, Holger Prothmann
Actuated traffic signal optimisation using evolutionary algorithms
Proceedings of the 6th European Congress and Exhibition on Intelligent Transport Systems and Services (ITS07), ERTICO - ITS Europe, Juni, 2007
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Holger Prothmann, Fabian Rochner, Sven Tomforde, Jürgen Branke, Christian Müller-Schloer, Hartmut Schmeck
Organic Control of Traffic Lights
In Chunming Rong, Martin Gilje Jaatun, Frode Eika Sandnes, Laurence T. Yang, and Jianhua Ma, Proceedings of the 5th International Conference on Autonomic and Trusted Computing (ATC-08), pages: 219--233, Springer, LNCS, 5060, Juni, 2008
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Holger Prothmann, Hartmut Schmeck
Evolutionary algorithms for traffic signal optimisation: A survey
Proceedings of mobil.TUM 2009 - International Scientific Conference on Mobility and Transport, TU München, Mai, 2009
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Fabian Rochner, Holger Prothmann, Jürgen Branke, Christian Müller-Schloer, Hartmut Schmeck
An Organic Architecture for Traffic Light Controllers
In Christian Hochberger and Rüdiger Liskowsky, Informatik 2006 -- Informatik für Menschen, pages: 120--127, Köllen Verlag, Lecture Notes in Informatics (LNI), P-93, Oktober, 2006
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Sven Tomforde, Holger Prothmann, Fabian Rochner, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer, Hartmut Schmeck
Decentralised Progressive Signal Systems for Organic Traffic Control
In Sven Brueckner and Paul Robertson and Umesh Bellur, Proceedings of the 2nd IEEE International Conference on Self-Adaption and Self-Organization (SASO 2008), pages: 413-422, IEEE, Oktober, 2008
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Sven Tomforde, Holger Prothmann, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer, Hartmut Schmeck
Possibilities and Limitations of Decentralised Traffic Control Systems
2010 IEEE World Congress on Computational Intelligence (IEEE WCCI 2010), pages: 3298-3306, IEEE Computer Society, Juli, 2010
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book
Christian Müller-Schloer, Hartmut Schmeck, Theo Ungerer
Organic Computing - A Paradigm Shift for Complex Systems
Birkhäuser, Juni, 2011
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phdthesis
Holger Prothmann
Organic Traffic Control
Hartmut Schmeck, Peter Vortisch, 2011/07/15, KIT, Fakultät für Wirtschaftswissenschaften
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