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Autonomous Driving & ITS Trends: Global Insights 2025
Last Modified
2025-09-03
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Given the complexity and diversity of the challenges faced by urban transportation, the parallel development of intelligent transportation systems (ITS) and autonomous driving aims to address congestion and enhance system resilience. AI-powered ITS will toward greater proactivity, strengthening real-time sensing and decision-making capabilities as regulations and technologies for autonomous vehicles evolve. However, data standardization and platform integration remain critical challenges that must be resolved.
Key Highlights
- Urban transportation faces complex and diverse challenges.
- Parallel progress of ITS and autonomous driving aims to reduce congestion and boost resilience.
- AI-powered ITS enhances real-time sensing and decision-making.
- Data standardization and platform integration remain unresolved critical issues.
Table of Contents
- Global Status and Challenges of Intelligent Transportation
- Figure 1: Current Key Transportation Issues and Intelligent Solutions at a Glance
- Table 1: Summary of Regional Smart Transportation Policy Directions
- Development Directions for Smart Transportation Systems
- Figure 2: Summary of Algorithms for Smart Transportation System Applications
- Figure 3: Conceptual Diagram of JMDS
- TRI’s View
<Total Pages: 13>
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