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ILP experiments in detecting traffic problems

  • Sašo Džeroskil
  • Nico Jacobs
  • Martin Molina
  • Carlos Moure
Regular Papers Applications of ML
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1398)

Abstract

Expert systems for decision support have recently been successfully introduced in road transport management. These systems include knowledge on traffic problem detection and alleviation. The paper describes experiments in automated acquisition of knowledge on traffic problem detection. The task is to detect road sections where a problem has occured (critical sections) from sensor data. It is necessary to use inductive logic programming (ILP) for this purpose as relational background knowledge on the road network is essential. Preliminary results show that ILP can be used to successfully learn to detect traffic problems.

Keywords

Road Network Critical Section Road Section Traffic Management Inductive Logic Programming 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Sašo Džeroskil
    • 1
  • Nico Jacobs
    • 2
  • Martin Molina
    • 3
  • Carlos Moure
    • 3
  1. 1.J. Stefan InstituteLjubljana
  2. 2.K.U.LeuvenHeverleeBelgium
  3. 3.Universidad Politecnica de MadridMadridSpain

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