Comparison of operational availability of public city buses by analysis of variance

Rymarz, Joanna; Niewczas, Andrzej; Krzyżak, Aneta

doi:10.17531/ein.2016.3.8

Cited by 20 publications

(16 citation statements)

References 16 publications

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“…States S6 and S7 related to repair and overhaul activities may also need to be investigated. They account for more than 20% in total and, as unfit states, have a strong influence on the technical readiness factor, which is determined as the sum of the respective probabilities of the reliability states (Rymarz et al 2016). For the system under analysis, exploitability states range from S1 to S5.…”

Section: Resultsmentioning

confidence: 99%

Method of Testing the Readiness of Means of Transport With the Use of Semi-Markov Processes

Borucka

2021

Transport

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In the analysis of the readiness of means of transport, the Markov and semi-Markov processes are particularly applicable, allowing for the description of the usage process over long periods of time, determination of indicators of the exploitability and readiness of the used set of objects, as well as simulation of long-term forecasts of the usage process results. The studies presented in the literature usually concern the theoretical side of the matter, mainly the construction of formal models of the process of changing the operating states of a vehicle. Less attention is paid to the empirical side, especially with regard to the actual conditions of use. Examples of experimental observations presented in the literature most often concern individual cases. This paper lists selected irregularities and presents an example of a study of a real transport system based on semi-Markov processes.

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Section: Resultsmentioning

confidence: 99%

Method of Testing the Readiness of Means of Transport With the Use of Semi-Markov Processes

Borucka

2021

Transport

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“…The Monte Carlo method includes all roceedings that aim to find approximate solutions for some problems (mathematical, technical or operational). The Monte Carlo method involves estimating the probability of occurrence of certain events based on previous studies [17,19]. According to Emblemsvag [8], the Monte Carlo simulation is an especially useful method for cost management purposes.…”

Section: Vicente Macián Bernardo Tormos Jorge Riechimentioning

confidence: 99%

Time replacement optimization model: comparative analysis of urban transport fleets using Monte Carlo Simulation

Macián

Tormos

Riechi

2017

EiN

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“…transport routes and networks. An important element of transportation means use is constituted by the maintenance-repair management, which is an indispensable condition for ensuring the continuity of operation and utilisation of the assets potential [2,6,27].…”

Section: Introductionmentioning

confidence: 99%

“…To achieve this aim the probability calculus is used (cf. [11,27,28,33]). For instance, the probabilistic index of trips irregularity defined as the difference (in minutes) between the real and scheduled time in the conditions of ensuring stable and regular traffic is analysed.…”

Section: Introductionmentioning

confidence: 99%

Methodology of network systems reliability assessment on the example of urban transport

Młynarski¹,

Pilch²,

Smolnik³

et al. 2018

Eksploatacja i Niezawodność – Maintenance and Reliability

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Apart from reliability evaluation, the methodology of network systems reliability assessment presented in the article enables the design of modernisation of such systems targeted mainly at ensuring their required reliability. In practice the methodology can be applied for various network systems, e.g. computer, power, gas, water distribution, telecommunications and transport networks. A reliability analysis of a transport network in urban public transport is presented. Calculations were performed for selected criteria of network availability which actually conditions the quality of transport services provided. The basic calculation tool used was the factoring algorithm that enabled the assessment of the impact of individual connections failure (in particular those caused by physical factors) on the reliability of the whole network. The feasibility of modernisation of the network analysed is discussed and the results are presented in diagrams.

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Comparison of operational availability of public city buses by analysis of variance

Abstract: Comparison of operational availability of publiC City buses by analysis of varianCe porównanie gotowośCi autobusów komunikaCji miejskiej z zastosowaniem metody analizy warianCji*

Cited by 20 publications

References 16 publications

Method of Testing the Readiness of Means of Transport With the Use of Semi-Markov Processes

Method of Testing the Readiness of Means of Transport With the Use of Semi-Markov Processes

Time replacement optimization model: comparative analysis of urban transport fleets using Monte Carlo Simulation

Methodology of network systems reliability assessment on the example of urban transport

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