AI in transport offers significant potential for efficiency, safety, and sustainability, but its adoption faces challenges that must be overcome to unlock its potential. Following an extensive literature review and discussion of AI use in transport across two industry-led workshops, eight technical and non-technical barriers were identified as key areas needing attention.
AI in transport offers significant potential for efficiency, safety, and sustainability, but its adoption faces challenges that must be overcome to unlock its potential. Following an extensive literature review and discussion of AI use in transport across two industry-led workshops, eight technical and non-technical barriers were identified as key areas needing attention. These findings were developed into five strategic opportunities for the sector: establishing clear governance and regulation, balancing innovation and data protection through collaboration, enhancing technical skills, building public confidence, and ensuring infrastructure investment to drive impact. Collaborative action on these opportunities can help create an effective AI-ready ecosystem to modernise our transport network.
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