Urban hydrogen adoption in Linz, Austria: Simulation and statistical detection of anomalies in sustainable mobility

The transition to Hydrogen Fuel Cell Vehicles (HFCVs) is recognized for its potential to eliminate tailpipe emissions and promote cleaner urban mobility. This study examines the impact of varying HFCV adoption rates, as well as the number and location of hydrogen refueling stations, on emissions, driving behavior, and traffic dynamics in urban environments. A hybrid methodology, combining statistical analyses and machine learning techniques, was used to simulate all scenarios in the city of Linz, Austria. The simulation results indicate that the configuration of hydrogen refueling infrastructure, along with smoother driving patterns, can contribute to reduced congestion and significantly lower CO 2 emissions in high-traffic urban areas. Increasing the proportion of HFCVs was also found to be beneficial due to their use of electric motors powered by hydrogen fuel cells, which offer features such as instant torque, regenerative braking and responsive acceleration. Although these features are not unique to HFCVs, they contributed to a slight shift in driving behavior toward smoother and more energy-efficient patterns. This change occurred due to improved acceleration and deceleration capabilities, which reduced the need for harsh maneuvers and supported steadier driving. However, the overall effect is highly dependent on traffic conditions and real-world driving behavior. Furthermore, marginal and context-dependent improvements in traffic flow were observed in certain areas. These were attributed to HFCVs' responsive acceleration, which might assist in smoother merging and reduce stop-and-go conditions. These findings provide valuable insights for transportation planners and policymakers aiming to promote sustainable urban development. • Hybrid methodology integrates statistical and machine learning for HFCV adoption. • Strategically placed hydrogen refueling stations reduce congestion and CO2 emissions. • Increasing HFCV adoption shrinks congestion zones and improves traffic flow. • Adoption of HFCV leads to smoother driving and reduced aggressive driving behavior.

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Publication Details

Journal
Applied Energy
Published
2025-08-26
DOI
https://doi.org/10.1016/j.apenergy.2025.126628
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00

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article

Urban hydrogen adoption in Linz, Austria: Simulation and statistical detection of anomalies in sustainable mobility

Cristina Olaverri-Monreal, Nikita Smirnov, Amirhesam Aghanouri
Applied Energy
Urban Transport and Accessibility
article

Urban hydrogen adoption in Linz, Austria: Simulation and statistical detection of anomalies in sustainable mobility

Cristina Olaverri-Monreal, Nikita Smirnov, Amirhesam Aghanouri
article en

Abstract

The transition to Hydrogen Fuel Cell Vehicles (HFCVs) is recognized for its potential to eliminate tailpipe emissions and promote cleaner urban mobility. This study examines the impact of varying HFCV adoption rates, as well as the number and location of hydrogen refueling stations, on emissions, driving behavior, and traffic dynamics in urban environments. A hybrid methodology, combining statistical analyses and machine learning techniques, was used to simulate all scenarios in the city of Linz, Austria. The simulation results indicate that the configuration of hydrogen refueling infrastructure, along with smoother driving patterns, can contribute to reduced congestion and significantly lower CO 2 emissions in high-traffic urban areas. Increasing the proportion of HFCVs was also found to be beneficial due to their use of electric motors powered by hydrogen fuel cells, which offer features such as instant torque, regenerative braking and responsive acceleration. Although these features are not unique to HFCVs, they contributed to a slight shift in driving behavior toward smoother and more energy-efficient patterns. This change occurred due to improved acceleration and deceleration capabilities, which reduced the need for harsh maneuvers and supported steadier driving. However, the overall effect is highly dependent on traffic conditions and real-world driving behavior. Furthermore, marginal and context-dependent improvements in traffic flow were observed in certain areas. These were attributed to HFCVs' responsive acceleration, which might assist in smoother merging and reduce stop-and-go conditions. These findings provide valuable insights for transportation planners and policymakers aiming to promote sustainable urban development. • Hybrid methodology integrates statistical and machine learning for HFCV adoption. • Strategically placed hydrogen refueling stations reduce congestion and CO2 emissions. • Increasing HFCV adoption shrinks congestion zones and improves traffic flow. • Adoption of HFCV leads to smoother driving and reduced aggressive driving behavior.

Applied EnergyVol. 401
Auslandsbüro, Universität Linz
Openalex Percentile: Top 77%
Urban Transport and Accessibility
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Urban hydrogen adoption in Linz, Austria: Simulation and statistical detection of anomalies in sustainable mobility — Cristina Olaverri-Monreal, Nikita Smirnov, et al. · Applied Energy (2025) | TGRS Research Map | TGRS