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Learning Diagnostic Diagrams in Transport-Based Data-Collection Systems

  • Vu The Tran
  • Peter Eklund
  • Chris Cook
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8502)

Abstract

Insights about service improvement in a transit network can be gained by studying transit service reliability. In this paper, a general procedure for constructing a transit service reliability diagnostic (Tsrd) diagram based on a Bayesian network is proposed to automatically build a behavioural model from Automatic Vehicle Location (AVL) and Automatic Passenger Counters (APC) data. Our purpose is to discover the variability of transit service attributes and their effects on traveller behaviour. A Tsrd diagram describes and helps to analyse factors affecting public transport by combining domain knowledge with statistical data.

Keywords

AI applications knowledge discovery Bayesian networks transit service reliability 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Vu The Tran
    • 1
  • Peter Eklund
    • 1
  • Chris Cook
    • 1
  1. 1.Faculty of Engineering and Information ScienceUniversity of WollongongAustralia

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