Reliability evaluation of a multistate railway transportation network from the perspective of a travel agent
Autor: | Cheng Ta Yeh, Louis Cheng Lu Yeng, Pei Tzu Huang, Yi-Kuei Lin |
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Rok vydání: | 2021 |
Předmět: |
021110 strategic
defence & security studies 021103 operations research Operations research Computer science Reliability (computer networking) 0211 other engineering and technologies Railway transportation ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Industrial and Manufacturing Engineering Set (abstract data type) Perspective (geometry) Train Safety Risk Reliability and Quality |
Zdroj: | Reliability Engineering & System Safety. 214:107757 |
ISSN: | 0951-8320 |
DOI: | 10.1016/j.ress.2021.107757 |
Popis: | Travelling by railway trains is usually the preferred option of travelers. Assessing whether a railway company can provide sufficient seats or cabins is meaningful for a travel agent to evaluate how the size of a tour group they can serve. A railway transportation system presents a set of available trains connecting the starting station and the destination station for a tour group according to their itinerary and the train timetable of a railway transportation company. The railway transportation system can be represented as a network with arcs denoting trains and nodes denoting starting, destination, and transfer stations. Because the available seats or cabins (i.e., capacity) in a train may be partially or fully reserved by other agents or groups, the capacity should be stochastic. Accordingly, the system can be modeled as a multistate railway transportation network. System reliability is defined as the probability that a tour group can successfully travel from the starting station to the destination station according to their itinerary, and can be a decision indicator for the travel agent. This study proposes an algorithm based on minimal paths to evaluate the system reliability. A case study of the railway transportation system in Taiwan is analyzed to demonstrate the applicability and computational efficiency of the proposed algorithm. |
Databáze: | OpenAIRE |
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