Mining traffic patterns from public transportation GPS data

Bus schedules submitted by public transportation companies often lack accuracy. Generally this relates to traffic being inconsistent over most parts of the road network. We set on finding a model for predicting these speed variations over GPS monitored bus routes, by using association rules, and the...

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Bibliographic Details
Published in2010 IEEE International Conference on Intelligent Computer Communication and Processing pp. 123 - 126
Main Authors Lipan, F, Groza, A
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2010
Subjects
Association rules
Global Positioning System
GPS fleet monitoring
Monitoring
public transportation
Roads
Schedules
traffic patterns
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ISBN9781424482283
1424482283
DOI10.1109/ICCP.2010.5606450

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Summary:Bus schedules submitted by public transportation companies often lack accuracy. Generally this relates to traffic being inconsistent over most parts of the road network. We set on finding a model for predicting these speed variations over GPS monitored bus routes, by using association rules, and then apply it on the local bus network of Cluj-Napoca, Romania.
ISBN:9781424482283
1424482283
DOI:10.1109/ICCP.2010.5606450