Using Artificial Intelligence to Reduce Carbon Emissions from the Saudi Commercial Fleet

The Saudi commercial fleet contributes significantly to the nation's carbon footprint. This paper explores the potential of Artificial Intelligence (AI) to optimize fleet operations and reduce associated emissions. We delve into various AI applications, including predictive maintenance, optimized routing, and intelligent speed control, highlighting their efficacy in minimizing fuel consumption and maximizing operational efficiency. The paper also discusses challenges and opportunities associated with AI implementation in the Saudi context, considering the specific requirements of the local fleet and infrastructure. Ultimately, integrating AI into fleet management systems offers a promising pathway towards achieving sustainability goals and reducing the environmental impact of commercial transport in Saudi Arabia.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-12
DOI
https://doi.org/10.5281/zenodo.14413058
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
0.00
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article

Using Artificial Intelligence to Reduce Carbon Emissions from the Saudi Commercial Fleet

Zenodo (CERN European Organization for Nuclear Research)
Vehicle emissions and performance
article

Using Artificial Intelligence to Reduce Carbon Emissions from the Saudi Commercial Fleet

article en

Abstract

The Saudi commercial fleet contributes significantly to the nation's carbon footprint. This paper explores the potential of Artificial Intelligence (AI) to optimize fleet operations and reduce associated emissions. We delve into various AI applications, including predictive maintenance, optimized routing, and intelligent speed control, highlighting their efficacy in minimizing fuel consumption and maximizing operational efficiency. The paper also discusses challenges and opportunities associated with AI implementation in the Saudi context, considering the specific requirements of the local fleet and infrastructure. Ultimately, integrating AI into fleet management systems offers a promising pathway towards achieving sustainability goals and reducing the environmental impact of commercial transport in Saudi Arabia.

Zenodo (CERN European Organization for Nuclear Research)
California Maritime Academy (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 61%
Vehicle emissions and performance
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