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Spanish Road Fork Traffic Analysis and Modelling

  • Irene Díaz
  • José Ramón VillarEmail author
  • Enrique de la Cal
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10334)

Abstract

This study focuses on the analysis of traffic data concerning road crashes, with the aim of extracting relevant knowledge in order to choose the location of intelligent road guardrails. To do so, historical data of the accidents in Spanish roads since 2011 have been gathered from the Dirección General de Tráfico and analyzed afterwards. After a preliminary stage, where association rule mining algorithms were performed, this study focuses on Decision Tree classifiers to determine the relationships among the features in the accidents yearly dataset. These relationships are related to the intrinsic connections between features. Some interesting relationships have been found, specially for the T or Y shape road fork type. Future work will deploy a severity index using both the victims and vehicles, so relationships due to conditions and severity can be extracted. As long as the extracted rule set varies for each year, it might be useful as well to determine invariants in the trees, which is led as future work.

Keywords

Intelligent guardrails Applied intelligence Traffic analysis 

Notes

Acknowledgments

This research has been funded by the Interconecta call of the European Union Structural Funds (FEDER) INTERCONECTA CDTI project ABECATIM (SOL-00082271/ITC-20151039).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Irene Díaz
    • 1
  • José Ramón Villar
    • 1
    Email author
  • Enrique de la Cal
    • 1
  1. 1.Computer Science DepartmentUniversity of OviedoOviedoSpain

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