The Emerging Role of Artificial Intelligence in Enhancing Energy Efficiency and Reducing GHG Emissions in Transport Systems DOI Creative Commons
Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka

и другие.

Energies, Год журнала: 2024, Номер 17(24), С. 6271 - 6271

Опубликована: Дек. 12, 2024

The global transport sector, a significant contributor to energy consumption and greenhouse gas (GHG) emissions, requires innovative solutions meet sustainability goals. Artificial intelligence (AI) has emerged as transformative technology, offering opportunities enhance efficiency reduce GHG emissions in systems. This study provides comprehensive review of AI’s role optimizing vehicle management, traffic flow, alternative fuel technologies, such hydrogen cells biofuels. It explores potential drive advancements electric autonomous vehicles, shared mobility, smart transportation economic analysis demonstrates the viability AI-enhanced transport, considering Total Cost Ownership (TCO) cost-benefit outcomes. However, challenges data quality, computational demands, system integration, ethical concerns must be addressed fully harness potential. also highlights policy implications AI adoption, underscoring need for supportive regulatory frameworks policies that promote innovation while ensuring safety fairness.

Язык: Английский

A universal cost-oriented powertrain component size design scheme using nested framework for fuel cell trucks DOI
Bo Chen, Ruiqing Ma, Yang Zhou

и другие.

Energy Conversion and Management, Год журнала: 2025, Номер 327, С. 119521 - 119521

Опубликована: Янв. 21, 2025

Язык: Английский

Процитировано

2
Consistent African vulture optimization algorithm for electrical energy exchange in commercial buildings DOI
Linfei Yin, Jing Tian,

Xiaofang Chen

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 134741 - 134741

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1
Optimization of energy management strategies for multi-mode hybrid electric vehicles driven by travelling road condition data DOI Creative Commons
Hongxia Wang, Cheng Chang, Zhiyi Pan

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 12, 2025

Язык: Английский

Процитировано

0
The Emerging Role of Artificial Intelligence in Enhancing Energy Efficiency and Reducing GHG Emissions in Transport Systems DOI Creative Commons
Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka

и другие.

Energies, Год журнала: 2024, Номер 17(24), С. 6271 - 6271

Опубликована: Дек. 12, 2024

The global transport sector, a significant contributor to energy consumption and greenhouse gas (GHG) emissions, requires innovative solutions meet sustainability goals. Artificial intelligence (AI) has emerged as transformative technology, offering opportunities enhance efficiency reduce GHG emissions in systems. This study provides comprehensive review of AI’s role optimizing vehicle management, traffic flow, alternative fuel technologies, such hydrogen cells biofuels. It explores potential drive advancements electric autonomous vehicles, shared mobility, smart transportation economic analysis demonstrates the viability AI-enhanced transport, considering Total Cost Ownership (TCO) cost-benefit outcomes. However, challenges data quality, computational demands, system integration, ethical concerns must be addressed fully harness potential. also highlights policy implications AI adoption, underscoring need for supportive regulatory frameworks policies that promote innovation while ensuring safety fairness.

Язык: Английский

Процитировано

2