City Bus Reliability Measurement Based on Sparse Field Data Supported by Selected State Space Models

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F26%3A00563485" target="_blank" >RIV/60162694:G42__/26:00563485 - isvavai.cz</a>

Alternative codes found

RIV/60162694:G43__/26:00563485

Result on the web

<a href="https://journals.sagepub.com/doi/10.1177/03611981241263563" target="_blank" >https://journals.sagepub.com/doi/10.1177/03611981241263563</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1177/03611981241263563" target="_blank" >10.1177/03611981241263563</a>

Result language

angličtina

Original language name

City Bus Reliability Measurement Based on Sparse Field Data Supported by Selected State Space Models

Original language description

Means of transport are an important part of today’s cities. Bus transport in particular is considered to be a reliable mode of transport. In cooperation with a city’s transport company, we process in this article data collected from two fleets of buses. The data records are related to the failures of individual bus subsystems. We focus on the study of data from engine and brake subsystems, the consequences of failures of which are the most serious in relation to traffic safety. The data are seemingly austere, as the records only contain information such as “operating/fault” during a given month (no known causes, mechanisms, or other more precise time information about the failure). On the basis of such sparse data, however, it is still possible to estimate the trend or predict the development of certain measures over time. For the study and subsequent prediction, we used approaches based on state space models. Specifically, we worked with a linear trend model and a periodic component model. For both fleets of buses, we have also analyzed what the respective model and its prediction could look like if we knew selected and more detailed time information about the failures. This model therefore provides a general idea of the rate of occurrence of failure trend development, expected number of failures within single months, and respective bus subsystem failure occurrence forecasts. Based on this information, operators and entrepreneurs can rationalize the processes related to operations, maintenance, and repair planning.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20101 - Civil engineering

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

TRANSPORTATION RESEARCH RECORD

ISSN

0361-1981

e-ISSN

2169-4052

Volume of the periodical

2679

Issue of the periodical within the volume

2

Country of publishing house

US - UNITED STATES

Number of pages

20

Pages from-to

629-648

UT code for WoS article

001285217600001

EID of the result in the Scopus database

2-s2.0-85200651604