Quantum Computing and AI for Urban Mobility: A Systematic Literature Review of Creating Smart and Secure Cities of the Future

Abstract

This article is based on the systematic literature review exploring the potential of AI and quantum computing in revolutionizing urban mobility, which is a core component of smart city development. 300 scholarly papers were initially collected with targeted keyword searches related to "quantum computing and AI," with relevant studies screened and analyzed in the ASReview tool. Findings suggest that quantum computing's capability to process complex datasets and enhance optimization aligns synergistically with AI's predictive and adaptive capabilities, paving the way for more effectual, responsive, and resilient urban mobility solutions. Key applications discussed include traffic flow optimization, multi-modal transportation integration, and predictive urban planning simulations. Several barriers remain, including scalability, integration with existing infrastructure, and the ethical implications of extensive data collection. The study highlights these gaps and proposes directions for future research to address technical, ethical, and security concerns. The conjunction of quantum with AI holds significant power for converting urban mobility, supporting smarter, more sustainable cities that can meet the evolving demands of urban life.