---
title: "Shenzhen: Launching pilot applications for \"vehicle-road-cloud integration\" in smart connected vehicles, increasing the AI empowerment capabilities for the entire automotive industry chain of \"smart manufacturing + smart driving.\""
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/275743635.md"
description: "The Shenzhen Municipal Bureau of Industry and Information Technology released the \"Shenzhen 'Artificial Intelligence +' Advanced Manufacturing Action Plan (2026-2027)\", which plans to carry out pilot applications for intelligent connected vehicles with \"vehicle-road-cloud integration\" and increase the AI empowerment of the entire automotive industry chain for \"smart manufacturing + smart driving\". The plan aims to optimize automotive parts resources through intelligent management and artificial intelligence algorithms, enhancing collaborative design capabilities"
datetime: "2026-02-12T11:02:18.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/275743635.md)
  - [en](https://longbridge.com/en/news/275743635.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/275743635.md)
---

> Supported Languages: [简体中文](https://longbridge.com/zh-CN/news/275743635.md) | [繁體中文](https://longbridge.com/zh-HK/news/275743635.md)


# Shenzhen: Launching pilot applications for "vehicle-road-cloud integration" in smart connected vehicles, increasing the AI empowerment capabilities for the entire automotive industry chain of "smart manufacturing + smart driving."

The Shenzhen Municipal Bureau of Industry and Information Technology recently issued the "Shenzhen 'Artificial Intelligence +' Advanced Manufacturing Action Plan (2026-2027)," which proposes to carry out pilot applications for intelligent connected vehicles with "vehicle-road-cloud integration" and to increase the AI empowerment of the entire automotive industry chain with "smart manufacturing + smart driving." In terms of collaborative design, it will intelligently manage and classify component resources, recommend optimal component information, and use artificial intelligence algorithms to simulate automatic matching and cleaning of material properties, achieving high-precision mesh division and improving the R&D efficiency of enterprises

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