Gaining Insights into Traffic Data through Genetic Improvement
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Ekart:2017:GI,
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author = "Aniko Ekart and Alina Patelli and Victoria Lush and
Elisabeth Ilie-Zudor",
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title = "Gaining Insights into Traffic Data through Genetic
Improvement",
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booktitle = "GI-2017",
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year = "2017",
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editor = "Justyna Petke and David R. White and W. B. Langdon and
Westley Weimer",
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pages = "1511--1512",
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address = "Berlin",
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month = "15-19 " # jul,
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publisher = "ACM",
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keywords = "genetic algorithms, genetic programming, genetic
improvement, symbolic regression, data mining",
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isbn13 = "978-1-4503-4939-0",
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URL = "http://geneticimprovementofsoftware.com/wp-content/uploads/2017/05/ekart2017_road_data.pdf",
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URL = "https://publications.aston.ac.uk/id/eprint/31438/1/Road_traffic_data_through_genetic_improvement.pdf",
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URL = "http://eprints.sztaki.hu/9290/",
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DOI = "doi:10.1145/3067695.3082523",
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size = "2 pages",
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abstract = "We argue that Genetic Improvement can be successfully
used for enhancing road traffic data mining. This would
support the relevant decision makers with extending the
existing network of devices that sense and control city
traffic, with the end goal of improving vehicle flow
and reducing the frequency of road accidents. Our
position results from a set of preliminary observations
emerging from the analysis of open access road traffic
data collected in real time by the Birmingham City
Council.",
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notes = "Last author also know as Angyalka Ilie Zudor Also
known as \cite{sztaki9290}",
- }
Genetic Programming entries for
Aniko Ekart
Alina Patelli
Victoria Lush
Elisabeth Ilie-Zudor
Citations