OTC3/en
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Organic Traffic Control |
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Organic Traffic Control (OTC3) aims at the realisation of an organic traffic control system for urban road networks. In the previous phases of the project, an adaptive learning intersection controller has been developed that is equipped with collaboration capabilities to allow for self-organised traffic light control in urban networks. In OTC3, the underlying observer/controller architecture will be further advanced and refined. Additionally, the existing system will be extended and improved with a novel route guidance and driver information component: Road users will be provided with route recommendations that consider the current and predicted state of the road network. Recommendations aim at minimising the individual travel times of road users while preventing the formation of congestions. Route guidance and traffic light control components will be integrated, so traffic lights can pro-actively adapt to recommended routes. Decentralised and hierarchical system architectures will be investigated and compared to obtain a deeper understanding of the relationship between the local behaviour of a population of system elements and the global behaviour of the system, which is a central question for many Organic Computing systems. Both variants will be evaluated and compared, their working principles and benefits will be demonstrated. In the evaluation, a special focus will be on the robustness of the organic system with respect to unforeseen events and its flexibility to incorporate the goals of a human planner.
from: 1 Juli 2009
until: 30 Juni 2011
Funding: DFG
Predecessing Project: OTC2
Leibniz Universität Hannover, University of Warwick
Evolutionary Computing, Organic Computing, Machine Learning, Global Optimization, Evolutionary Strategies, Genetic Algorithms, Evolutionary Optimization Of Dynamic Problems, Nature-inspired Algorithms, Human Computer Systems
Inhaltsverzeichnis
inproceedings
Holger Prothmann, Hartmut Schmeck, Sven Tomforde, Johannes Lyda, Jörg Hähner, Christian Müller-Schloer, Jürgen Branke
Decentralised Route Guidance in Organic Traffic Control
Proceedings of the 5th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, pages: 219-220, IEEE, Oktober, 2011
(Details)
Holger Prothmann, Sven Tomforde, Johannes Lyda, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer, Hartmut Schmeck
Self-Organised Routing for Road Networks
In Fernando A. Kuipers, Poul E. Heegaard, Proceedings of the Sixth International Workshop on Self-Organizing Systems (IWSOS 2012), pages: 48-59, Springer, LNCS, 7166
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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
(Details)
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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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incollection
Holger Prothmann, Sven Tomforde, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer, Hartmut Schmeck
Organic Traffic Control
In Christian Müller-Schloer and Hartmut Schmeck and Theo Ungerer, Organic Computing - A Paradigm Shift for Complex Systems, ch. 5.1, pages 431--446, Birkhäuser, Juni, 2011
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Sven Tomforde, Holger Prothmann, Jürgen Branke, Jörg Hähner, Moez Mnif, Christian Müller-Schloer, Urban Richter, Hartmut Schmeck
Observation and Control of Organic Systems
In Christian Müller-Schloer, Hartmut Schmeck, and Theo Ungerer, Organic Computing - A Paradigm Shift for Complex Systems, ch. 4.1, pages 325-338, Springer, Autonomic Systems, Basel, 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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