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车路云一体化功能场景路线图年内发布
Huan Qiu Wang·2025-08-15 11:32

Core Insights - The "Vehicle-Road-Cloud Integration" initiative has made significant progress in pilot cities over the past year, indicating a promising direction for the industry [2] - Recent industry conferences have highlighted the latest developments in "Vehicle-Road-Cloud Integration," providing guidance for future advancements [3] Group 1: Industry Developments - The "Vehicle-Road-Cloud Integration" initiative is seen as a crucial practice for advancing China's intelligent connected vehicle industry, promoting innovation across the supply chain [3] - The goal is to leverage intelligent connected vehicles to enhance applications in driving, traffic management, and urban governance, thereby fostering the development of smart city infrastructure [3] - The integration of C-V2X technology has established a complete standard system in China, addressing challenges such as heterogeneous recognition of traffic signals [4][5] Group 2: Challenges and Solutions - Despite the progress, challenges remain in cross-industry collaboration and resource sharing, which are essential for the successful implementation of "Vehicle-Road-Cloud Integration" [4][6] - The industry faces obstacles such as uneven distribution of computing resources, insufficient data availability, and high construction costs [6] - A layered algorithm service system has been proposed to enhance traffic perception capabilities for autonomous driving [6] Group 3: Future Goals and Roadmap - By the end of 2026, the goal is to achieve over 50% of new vehicles equipped with 5G/LTE-V2X technology and to cover over 90% of traffic signal facilities in three cities [7] - The "Vehicle-Road-Cloud Integration" functional scene roadmap has been initiated to guide the next steps in the industry, focusing on scalable implementation [8][9] - The roadmap outlines a three-phase approach for scene implementation from 2026 to 2035, addressing the need for unified standards and collaborative efforts across different sectors [9][10]