Learning Diagnostic Diagrams in Transport-Based Data-Collection Systems

Vu The Tran, Peter Eklund, Chris Cook

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review


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.
Original languageEnglish
Title of host publicationFoundations of Intelligent Systems - 21st International Symposium, ISMIS 2014, Roskilde, Denmark, June 25-27, 2014. Proceedings
Number of pages7
Publication date2014
ISBN (Print)978-3-319-08325-4
Publication statusPublished - 2014
SeriesLecture Notes in Computer Science


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