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- W604097424 abstract "The paper describes a method for an automatic offline-optimization of coordinated traffic signal control in urban networks that has been developed within the German research project RATISBONA-opt. The objective was a software planning tool which satisfies as many planning requirements as possible and remains comprehensible for the user. It generates optimal signal control plans for an urban network which can be implemented easily into the traffic signal control systems. Genetic algorithms are used as optimization method, because they are able to produce good solutions for such a complex non-linear problem within a reasonable amount of time. Decisive for the quality and operability is the coding of the control parameters. Because of the existing constraints a relative coding scheme was chosen which includes all constraints in a way that all produced solutions are valid. A traffic flow model combined with an impact model is used as basis for the performance index of each solution. The new tools have been evaluated by applying them to an urban network in the city of Regensburg (Germany). The project was funded by the Freistaat Bayern (State of Bavaria) and carried out by GEVAS software GmbH and TU Munchen (Munich University of Technology, Chair of Traffic Engineering and Control) in cooperation with the Amt fur Offentliche Ordnung und Strasenverkehr der Stadt Regensburg (City of Regensburg)." @default.
- W604097424 created "2016-06-24" @default.
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- W604097424 date "2005-01-01" @default.
- W604097424 modified "2023-09-24" @default.
- W604097424 title "Automatic Offline-Optimization of Coordinated Traffic SignalControl in Urban Networks Using Genetic Algorithms" @default.
- W604097424 hasPublicationYear "2005" @default.
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