Rochner, FabianProthmann, HolgerBranke, JürgenMüller-Schloer, ChristianSchmeck, HartmutHochberger, ChristianLiskowsky, Rüdiger2019-06-122019-06-122006978-3-88579-187-4https://dl.gi.de/handle/20.500.12116/23664Efficient control of traffic networks is a complex but important task. A successful network management vitally depends on the abilities of the traffic light controllers to adapt to changing traffic situations. In this paper a control architecture for traffic nodes is presented that is inspired by the principles of Organic Computing. It allows a node to quickly adapt to changing traffic situations and enables it to autonomously learn new control strategies if necessary.enText/Conference Paper1617-5468