自动驾驶与ITS趋势:全球考察(2025年)

鑑于城市交通面临的挑战复杂多样，智慧交通系统 (ITS) 与自动驾驶的并行发展旨在缓解交通拥堵并提升系统韧性。随着自动驾驶车辆相关法规和技术的不断发展，人工智慧赋能的智慧交通系统有望增强即时感知和决策能力，并变得更加主动。然而，数据标准化和平台整合仍然是关键挑战。

主要亮点

• 城市交通面临复杂多元的挑战。
• 智慧交通系统 (ITS) 与自动驾驶的平行发展旨在缓解交通拥堵并提升系统韧性。
• 人工智慧赋能的智慧交通系统将增强即时感知和决策能力。
• 资料标准化和平台整合仍然是关键挑战。

范例视图

本报告调查分析了全球自动驾驶和智慧交通系统（ITS）的发展现状，深入探讨了全球智慧交通的现状和挑战，以及智慧交通系统的发展方向。

目录

第一章：全球智慧交通的现况与挑战

第二章：智慧交通系统的发展方向

第三章：TRI的观点

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