“车路云一体化”频迎利好

Core Viewpoint - The article highlights the rapid development and implementation of the "Vehicle-Road-Cloud Integration" policy across various regions in China, with significant advancements in standards and pilot projects aimed at achieving large-scale commercial applications by 2030 [1][2][3]. Group 1: Standards and Policies - In March 2026, 12 standards related to "Vehicle-Road-Cloud Integration" were released at the National Conference on New Quality Productivity and Intelligent Industry Development, addressing key gaps in collaborative driving testing and complex road decision-making [1]. - A new standard document for "Vehicle-Road-Cloud Integration Intelligent Roadside Infrastructure Grading Technical Requirements (Urban Roads)" is expected to be published in the first half of this year, aiming to unify infrastructure grading across pilot cities [1]. Group 2: Pilot Projects and Developments - Multiple regions are advancing "Vehicle-Road-Cloud Integration" pilot projects, with Jiangsu's action plan aiming for over 300 typical application scenarios supported by urban models and intelligent systems by 2030 [2]. - The Changchun pilot project for intelligent connected vehicles has awarded a contract to Qiming Information Technology Co., Ltd. for approximately 79.5 million yuan, focusing on cloud control platforms and security systems [2]. - As of March, over 20 cities are engaged in "Vehicle-Road-Cloud Integration" pilot construction, with more than 4,000 km of smart roads and over 5,500 smart intersections deployed [3]. Group 3: Technological Innovation - China is shifting from single technology point advancements to a comprehensive system architecture centered on "Vehicle-Road-Cloud Integration," creating a complete technology chain covering perception, decision-making, and cloud control [3]. - The approach to advancing "Vehicle-Road-Cloud Integration" involves a "top-level design + pilot demonstration" model, utilizing national testing demonstration zones and pilot areas to accelerate technological iteration and scenario expansion [3].