Evolving Adaptive Traffic Signal Controllers for a Real Scenario Using Genetic Programming with an Epigenetic Mechanism
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- @InProceedings{Ricalde:2017:ICMLA,
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author = "Esteban Ricalde and W. Banzhaf",
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booktitle = "2017 16th IEEE International Conference on Machine
Learning and Applications (ICMLA)",
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title = "Evolving Adaptive Traffic Signal Controllers for a
Real Scenario Using Genetic Programming with an
Epigenetic Mechanism",
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year = "2017",
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pages = "897--902",
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abstract = "An important challenge for traffic signal control is
adapting to irregular changes in traffic. In recent
years, different heuristics have been developed to
address this issue. However, most of them are tested in
artificial scenarios under controlled circumstances. In
this paper, we present the first implementation of
Genetic Programming in the evolution of traffic signal
controllers for a real-world scenario. The evolved
controllers are compared with a static control and an
actuated control. The results indicate a significant
improvement over traditional methods. Moreover,
additional experiments indicate that the evolved
controllers have the ability to adapt to unplanned
changes in traffic conditions.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/ICMLA.2017.00-41",
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month = dec,
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notes = "Also known as \cite{8260751}",
- }
Genetic Programming entries for
Esteban Ricalde
Wolfgang Banzhaf
Citations