Background: Intelligent Transportation Systems (ITS) Started as Standalone Device (Lonely) to Now Being a Bank to Be Able to Provide Real Time Feedback/Adaptive Control/ Auto Decisions at Different Levels to Now Having a Fully Integrated System to Support a Fully Integrated Digital World Model (Transportation Ecosystem). Due to Issues with Data Security/Risk, Lack of Transparency Around System Performance, and General Distrust Between All Stakeholders, Distribution of the New Generation of Mobility Products Across The Globe is Still Not Widespread.

Objective: This paper examines the potential for AI and Blockchain Technologies working together with ITS as a complete Layered Framework that combines AI-based Transportation Brain with Blockchain-Based Data Security and Transparency Solutions.

Methods: We have developed a Conceptual Framework Using A Systematic Comparison on Existing Applications of AI and Blockchain in Transportation/Supply Chain Areas Based on: Efficiency, Reduced Congestion, Security Capability and Reliability, and System Scale.

Results: Measurable improvements were observed in all the evaluated dimensions by the new AI-Blockchain Convergence Framework, which consists of the core components, such as AI Analytics, ITS Services, and Governance Layers. The primary outcomes are improved prediction accuracy for congestion, cryptographically-secured vehicle event records, automated smart contract-based tolling, and increased cross-jurisdictional data interoperability.

Conclusion: Integrating AI and Blockchain within the ITS framework constitutes a significant opportunity for creating more secure, efficient, and trustworthy Mobility Infrastructure Systems. Scalability, regulatory fragmentation, and data governance issues will require focused interdisciplinary research and policy action to resolve.