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Learning diagnostic diagrams in transport-based data-collection systems

conference contribution
posted on 2014-01-01, 00:00 authored by V T Tran, Peter EklundPeter Eklund, C Cook
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.

History

Event

Methodologies for Intelligent Systems. Symposium (21st : 2014 : Roskilde, Denmark)

Volume

8502

Series

Methodologies for Intelligent Systems Symposium

Pagination

560 - 566

Publisher

Springer International Publishing

Location

Roskilde, Denmark

Place of publication

Cham, Switzerland

Start date

2014-06-25

End date

2014-06-27

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783319083254

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2014, Springer International Publishing Switzerland

Editor/Contributor(s)

T Andreasen, H Christiansen, J Cubero, Z Raś

Title of proceedings

ISMIS 2014 : Proceedings of the 21st International Symposium on Methodologies for Intelligent Systems 2014

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