Measuring service reliability using automatic vehicle location data

Ma, Zhenliang, Ferreira, Luis and Mesbah, Mahmoud (2014) Measuring service reliability using automatic vehicle location data. Mathematical Problems in Engineering, 2014 468563.1-468563.12. doi:10.1155/2014/468563

Author Ma, Zhenliang
Ferreira, Luis
Mesbah, Mahmoud
Title Measuring service reliability using automatic vehicle location data
Journal name Mathematical Problems in Engineering   Check publisher's open access policy
ISSN 1024-123X
Publication date 2014-01-01
Year available 2014
Sub-type Article (original research)
DOI 10.1155/2014/468563
Open Access Status DOI
Volume 2014
Start page 468563.1
End page 468563.12
Total pages 12
Place of publication New York, NY, United States
Publisher Hindawi Publishing
Language eng
Subject 2600 Mathematics
2200 Engineering
Abstract Bus service reliability has become a major concern for both operators and passengers. Buffer time measures are believed to be appropriate to approximate passengers' experienced reliability in the context of departure planning. Two issues with regard to buffer time estimation are addressed, namely, performance disaggregation and capturing passengers' perspectives on reliability. A Gaussian mixture models based method is applied to disaggregate the performance data. Based on the mixture models distribution, a reliability buffer time (RBT) measure is proposed from passengers' perspective. A set of expected reliability buffer time measures is developed for operators by using different spatial-temporal levels combinations of RBTs. The average and the latest trip duration measures are proposed for passengers that can be used to choose a service mode and determine the departure time. Using empirical data from the automatic vehicle location system in Brisbane, Australia, the existence of mixture service states is verified and the advantage of mixture distribution model in fitting travel time profile is demonstrated. Numerical experiments validate that the proposed reliability measure is capable of quantifying service reliability consistently, while the conventional ones may provide inconsistent results. Potential applications for operators and passengers are also illustrated, including reliability improvement and trip planning.
Keyword Travel-Time Reliability
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
Official 2015 Collection
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Citation counts: TR Web of Science Citation Count  Cited 1 times in Thomson Reuters Web of Science Article | Citations
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