Assessing the carbon impacts of AI in transport decision-making
A simple tool to help decision-makers balance the carbon impact of AI against its benefits when developing transport solutions.
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This research developed a tool, called the transport artificial intelligence (AI) carbon evaluator (TRACE) to support decision-making. TRACE enables users to:
- estimate the carbon impact of an AI application
- compare it with an alternative approach that would achieve the same outcome
It considers:
- energy use
- hardware
- wider transport effects
- expected benefits
The tool provides structured estimates to support:
- early decision-making on transport solutions
- users to compare options consistently