The Vision of Autonomic Computing
Computer
Journal of Intelligent and Robotic Systems
Organic Computing - A New Vision for Distributed Embedded Systems
ISORC '05 Proceedings of the Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing
A Distributed Approach for Coordination of Traffic Signal Agents
Autonomous Agents and Multi-Agent Systems
Echo Algorithms: Depth Parallel Operations on General Graphs
IEEE Transactions on Software Engineering
Classifier fitness based on accuracy
Evolutionary Computation
Organic Computing - Addressing Complexity by Controlled Self-Organization
ISOLA '06 Proceedings of the Second International Symposium on Leveraging Applications of Formal Methods, Verification and Validation
Decentralised Progressive Signal Systems for Organic Traffic Control
SASO '08 Proceedings of the 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems
Self-Organised routing for road networks
IWSOS'12 Proceedings of the 6th IFIP TC 6 international conference on Self-Organizing Systems
Artificial Life
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In recent years, autonomic and organic computing have become areas of active research in the informatics community. Both initiatives aim at handling the growing complexity in technical systems by focusing on adaptation and self-optimisation capabilities. A promising application for organic concepts is the control of road traffic signals in urban areas. This article presents an organic approach to traffic light control in urban areas that exhibits adaptation and learning capabilities, allowing traffic lights to autonomously react on changing traffic conditions. A coordination mechanism for neighbouring traffic lights is presented that relies solely on locally available traffic data and communication among neighbouring intersections, resulting in a distributed and self-organising traffic system for urban areas. The organic system's efficiency is demonstrated in a simulation-based evaluation.