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

Hydrogen-powered vehicles are emerging as a promising mode of transportation, aligned with the principles of sustainable societal development. The establishment of hydrogen refueling stations is an ongoing endeavor, with an expected growth in the number of hydrogen-powered vehicles in the near future. 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 taken into account 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. To demonstrate the practicality of the proposed approach, the problem is addressed for the Pardubice Region in the Czech Republic. 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 a high level of confidence in the results. Furthermore, a sensitivity analysis is performed, revealing enhanced stability when employing two normalization techniques as opposed to only one.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-09
DOI
https://doi.org/10.5281/zenodo.17869139
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Zenodo (CERN European Organization for Nuclear Research)
Electric Vehicles and Infrastructure
article

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

article en

Abstract

Hydrogen-powered vehicles are emerging as a promising mode of transportation, aligned with the principles of sustainable societal development. The establishment of hydrogen refueling stations is an ongoing endeavor, with an expected growth in the number of hydrogen-powered vehicles in the near future. 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 taken into account 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. To demonstrate the practicality of the proposed approach, the problem is addressed for the Pardubice Region in the Czech Republic. 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 a high level of confidence in the results. Furthermore, a sensitivity analysis is performed, revealing enhanced stability when employing two normalization techniques as opposed to only one.

Zenodo (CERN European Organization for Nuclear Research)
University of Pardubice (CZ), University of Belgrade (RS), Institute of Engineering (NP), University of Belgrade - Faculty of Transport and Traffic Engineering
Openalex Percentile: Top 46%
Electric Vehicles and Infrastructure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Hydrogen Refueling Station Selection Using the AROMAN Method: A Case Study in the Pardubice Region · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS