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Measuring Service Reliability Using Automatic Vehicle Location Data
Joint Authors
Ma, Zhenliang
Ferreira, Luis
Mesbah, Mahmoud
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Ma, Zhenliang& Ferreira, Luis& Mesbah, Mahmoud. 2014. Measuring Service Reliability Using Automatic Vehicle Location Data. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-473904
Modern Language Association (MLA)
Ma, Zhenliang…[et al.]. Measuring Service Reliability Using Automatic Vehicle Location Data. Mathematical Problems in Engineering No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-473904
American Medical Association (AMA)
Ma, Zhenliang& Ferreira, Luis& Mesbah, Mahmoud. Measuring Service Reliability Using Automatic Vehicle Location Data. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-473904
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-473904