AI in Automotive & Transportation

Below is the criteria for Global AI Awards in Automotive & Transportation Category:

1. Design (25%)

• Quality of system and interface design for AI in vehicles or transportation infrastructure.
• Integration with existing automotive/transportation technologies (autonomous driving, traffic management, logistics, mobility platforms).
• Safety, reliability, and compliance with industry standards and regulations.
• Sustainability-oriented design (energy efficiency, reduced emissions, smart mobility).

2. Impact (35%)

• Demonstrable improvements in safety, efficiency, or performance (e.g., reduced accidents, fuel savings, optimized routes).
• Economic benefits such as cost reduction, improved fleet management, or enhanced productivity.
• Positive effects on urban mobility, accessibility, and environmental sustainability.
• Contributions to advancing industry transformation (smart cities, connected mobility ecosystems).

3. Creativity (25%)

• Innovative use of AI to enable new forms of mobility (autonomous vehicles, predictive maintenance, multimodal transport).
• Unique approaches to tackling long-standing transportation challenges (congestion, emissions, accessibility).
• Pioneering integration of AI with IoT, robotics, or other emerging technologies.
• Differentiation from existing automotive/transportation solutions.

4. Ease of Use (15%)

• Intuitiveness and usability for drivers, passengers, operators, or city planners.
• Accessibility across different regions, markets, and user groups.
• Low barriers to adoption for individuals, businesses, or municipalities.
• Seamless interoperability with existing transportation systems and infrastructure.