自動駕駛與ITS趨勢:全球考察(2025年)

鑑於城市交通面臨的挑戰複雜多樣，智慧交通系統 (ITS) 與自動駕駛的並行發展旨在緩解交通擁堵並提升系統韌性。隨著自動駕駛車輛相關法規和技術的不斷發展，人工智慧賦能的智慧交通系統有望增強即時感知和決策能力，並變得更加主動。然而，數據標準化和平台整合仍然是關鍵挑戰。

主要亮點

• 城市交通面臨複雜多元的挑戰。
• 智慧交通系統 (ITS) 與自動駕駛的平行發展旨在緩解交通擁堵並提升系統韌性。
• 人工智慧賦能的智慧交通系統將增強即時感知和決策能力。
• 資料標準化和平台整合仍然是關鍵挑戰。

範例視圖

本報告調查分析了全球自動駕駛和智慧交通系統（ITS）的發展現狀，深入探討了全球智慧交通的現狀和挑戰，以及智慧交通系統的發展方向。

目錄

第一章：全球智慧交通的現況與挑戰

第二章：智慧交通系統的發展方向

第三章：TRI的觀點

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.

SAMPLE VIEW

Table of Contents

1. 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

2. Development Directions for Smart Transportation Systems

• Figure 2: Summary of Algorithms for Smart Transportation System Applications
• Figure 3: Conceptual Diagram of JMDS

3. TRI's View