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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/60162694:G43__/26:00563485

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20101 - Civil engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

TRANSPORTATION RESEARCH RECORD

ISSN

0361-1981

e-ISSN

2169-4052

Svazek periodika

2679

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

20

Strana od-do

629-648

Kód UT WoS článku

001285217600001

EID výsledku v databázi Scopus

2-s2.0-85200651604