Abstract
Greater cybersecurity requirements are imposed on intelligent mobility sys- tems by artificial intelligence. Digital transport infrastructure is protected to support safety, reliability, and resilience. Cybersecurity applications are assessed through a structured review and scientometric analysis. Intelligent transport, autonomous vehi- cles, sustainable mobility, and transport optimization are examined. Traffic control, prediction, anomaly detection, and system coordination are improved by artificial in- telligence. Secure transport is strengthened by machine-based, federated, and deep reinforcement methods. Adoption, cybersecurity integration, standardization, and ex- plainability are still limited. Further research is required for scalable, secure, and context-sensitive mobility solutions.