The urgent need to mitigate greenhouse gas emissions, particularly from the transportation sector, a major contributor to environmental degradation, underscores the necessity for transitioning to sustainable, resource- efficient systems. Circular economy (CE) principles provide a promising framework by emphasizing resource optimization, waste reduction, and the extension of asset life cycles while emerging digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, and 3D printing are instrumental in driving this transition by enhancing resource flow optimization, predictive maintenance, and real-time decision-making. This study uses the PRISMA methodology to critically analyze the existing literature and propose a theory- supported framework through a systematic literature review. The conceptual framework and theoretical propositions present the triad interaction between circular economy (CE) practices and digital technologies within the context of transportation infrastructure. This integration of relevant theories is key to enhancing practical applications for improved efficiency, while also promoting circular economy practices in transportation using these technologies. This study provides a foundation for future research and practical applications, contributing to a more sustainable and resource-efficient transportation sector. Furthermore, it expands the understanding of how digital technologies can support the circular economy in transportation infrastructure-an area that has so far received limited academic attention.