Hydrogen Refueling Station Selection Using the AROMAN Method: A Case Study in the Pardubice Region

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F25%3A39923107" target="_blank" >RIV/00216275:25510/25:39923107 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.trpro.2025.10.014" target="_blank" >https://doi.org/10.1016/j.trpro.2025.10.014</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.trpro.2025.10.014" target="_blank" >10.1016/j.trpro.2025.10.014</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Hydrogen Refueling Station Selection Using the AROMAN Method: A Case Study in the Pardubice Region

Popis výsledku v původním jazyce

Hydrogen-powered vehicles are emerging as a promising mode of transportation, aligned with the principles of sustainable societal development. Establishing hydrogen refueling stations is an ongoing endeavor, with an expected growth in the number of hydrogen-powered vehicles soon. This paper addresses the challenge of selecting a hydrogen refueling station from a driver’s perspective. The proposed methodology is designed as a decision support tool for drivers and can be integrated, for example, as a background program within a mobile phone application. To assist drivers in selecting the most suitable hydrogen refueling station, a recently developed multi-criteria decision-making (MCDM) method known as the Alternative Ranking Order Method Accounting Two-Step Normalization (AROMAN) has been employed. Several criteria are considered in the decision-making process, including the driver’s distance to the station, travel time to the charger, expected wait time if the charger is occupied, and the number of available chargers at each station. The problem is addressed for the Pardubice Region in the Czech Republic to demonstrate the practicality of the proposed approach. The available alternatives for the driver’s choice include the hydrogen refueling stations in Pardubice, Chrudim, and Třemošnice. The results obtained from the proposed approach identify the Chrudim refueling station as the optimal solution in this specific case. Comparative analyses are conducted with other MCDM methods such as the Additive Ratio Assessment (ARAS) and Measurement of Alternatives and Ranking according to the Compromise Solution (MARCOS), demonstrating high confidence in the results.

Název v anglickém jazyce

Hydrogen Refueling Station Selection Using the AROMAN Method: A Case Study in the Pardubice Region

Popis výsledku anglicky

Hydrogen-powered vehicles are emerging as a promising mode of transportation, aligned with the principles of sustainable societal development. Establishing hydrogen refueling stations is an ongoing endeavor, with an expected growth in the number of hydrogen-powered vehicles soon. This paper addresses the challenge of selecting a hydrogen refueling station from a driver’s perspective. The proposed methodology is designed as a decision support tool for drivers and can be integrated, for example, as a background program within a mobile phone application. To assist drivers in selecting the most suitable hydrogen refueling station, a recently developed multi-criteria decision-making (MCDM) method known as the Alternative Ranking Order Method Accounting Two-Step Normalization (AROMAN) has been employed. Several criteria are considered in the decision-making process, including the driver’s distance to the station, travel time to the charger, expected wait time if the charger is occupied, and the number of available chargers at each station. The problem is addressed for the Pardubice Region in the Czech Republic to demonstrate the practicality of the proposed approach. The available alternatives for the driver’s choice include the hydrogen refueling stations in Pardubice, Chrudim, and Třemošnice. The results obtained from the proposed approach identify the Chrudim refueling station as the optimal solution in this specific case. Comparative analyses are conducted with other MCDM methods such as the Additive Ratio Assessment (ARAS) and Measurement of Alternatives and Ranking according to the Compromise Solution (MARCOS), demonstrating high confidence in the results.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50703 - Transport planning and social aspects of transport (transport engineering to be 2.1)

Projekt

<a href="/cs/project/EH23_021%2F0008402" target="_blank" >EH23_021/0008402: Mezisektorová a mezioborová spolupráce ve výzkumu a vývoji komunikačních, informačních a detekčních technologií pro řídicí a zabezpečovací systémy</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název statě ve sborníku

Transportation Research Procedia

ISBN

—

ISSN

2352-1457

e-ISSN

2352-1465

Počet stran výsledku

8

Strana od-do

99-106

Název nakladatele

Elsevier B.V.

Místo vydání

Amsterdam

Místo konání akce

Záhřeb

Datum konání akce

11. 12. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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