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A Genetic Algorithm Approach to Optimization of Vehicular Traffic in Cities by Means of Configuring Traffic Lights

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Emerging Intelligent Technologies in Industry

Part of the book series: Studies in Computational Intelligence ((SCI,volume 369))

Abstract

The paper presents a genetic algorithm approach for a traffic light optimization problem. The algorithm was tested using Traffic Simulation Framework, a quite advanced software tool for simulating and investigating vehicular traffic in cities.

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Gora, P. (2011). A Genetic Algorithm Approach to Optimization of Vehicular Traffic in Cities by Means of Configuring Traffic Lights. In: Ryżko, D., Rybiński, H., Gawrysiak, P., Kryszkiewicz, M. (eds) Emerging Intelligent Technologies in Industry. Studies in Computational Intelligence, vol 369. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22732-5_1

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  • DOI: https://doi.org/10.1007/978-3-642-22732-5_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22731-8

  • Online ISBN: 978-3-642-22732-5

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