Learning the Classification of Traffic Accident Types

This paper presents an application of evolutionary fuzzy classifier design to a road accident data analysis. A fuzzy classifier evolved by the genetic programming was used to learn the labeling of data in a real world road accident data set. The symbolic classifier was inspected in order to select i...

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Published in2012 4th International Conference on Intelligent Networking and Collaborative Systems pp. 463 - 468
Main Authors Beshah, T., Ejigu, D., Kromer, P., Snasel, V., Platos, J., Abraham, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2012
Subjects
Accidents
Biological cells
fuzzy rules
Genetic programming
Indexes
Injuries
Labeling
machine learning
traffic accidents
Vehicles
Online AccessGet full text
ISBN9781467322799
1467322792
DOI10.1109/iNCoS.2012.75

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Abstract This paper presents an application of evolutionary fuzzy classifier design to a road accident data analysis. A fuzzy classifier evolved by the genetic programming was used to learn the labeling of data in a real world road accident data set. The symbolic classifier was inspected in order to select important features and the relations among them. Selected features provide a feedback for traffic management authorities that can exploit the knowledge to improve road safety and mitigate the severity of traffic accidents.
AbstractList This paper presents an application of evolutionary fuzzy classifier design to a road accident data analysis. A fuzzy classifier evolved by the genetic programming was used to learn the labeling of data in a real world road accident data set. The symbolic classifier was inspected in order to select important features and the relations among them. Selected features provide a feedback for traffic management authorities that can exploit the knowledge to improve road safety and mitigate the severity of traffic accidents.
Author Platos, J.
Abraham, A.
Ejigu, D.
Snasel, V.
Beshah, T.
Kromer, P.
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  organization: Fac. of Electr. Eng. & Comput. Sci., VSB Tech. Univ. of Ostrava, Ostrava, Czech Republic
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Snippet This paper presents an application of evolutionary fuzzy classifier design to a road accident data analysis. A fuzzy classifier evolved by the genetic...
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StartPage 463
SubjectTerms Accidents
Biological cells
fuzzy rules
Genetic programming
Indexes
Injuries
Labeling
machine learning
traffic accidents
Vehicles
Title Learning the Classification of Traffic Accident Types
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