自动驾驶赛道迎来重磅利好政策。 1月14日消息，上海市经济和信息化委员会、上海市交通委员会、上海市公安局印发《上海高级别自动驾驶引领区 "模速智行"行动计划》（以下简称《行动计 划》），其中提出，按照"模型驱动引领、应用示范带动、产业协同发展、政策举措支撑"的总体思路，推动自动驾驶技术创新向产业竞争力加速转化。 《行动计划》从三个方面提出9项重点任务，其中包括，有序推动无人驾驶装备应用落地、完善自动驾驶数据监测平台、有序扩大自动驾驶开放区域、实施关键技 术攻关工程、打造世界级汽车产业集群等。 上海最新发布 近日，由上海市经济和信息化委员会、市交通委、市公安局联合制定的《上海高级别自动驾驶引领区"模速智行"行动计划》正式发布，其中提到，到2027年，高级 别自动驾驶应用场景实现规模化落地，公共服务平台有力支撑行业创新，关键技术和产业规模达到国际领先水平，形成具有国际竞争力和影响力的智能网联汽车产 业集群，基本建成全球领先的高级别自动驾驶引领区。 在应用场景规模化方面，《行动计划》提出，探索创新商业运营模式，在智能公交、智能出租、智能重卡等场景规模化应用L4级自动驾驶技术，实现载客超600万 人次，载货运输超80 ...

Core Viewpoint - The "Mosu Zhixing" Action Plan aims to establish Shanghai as a leading area for high-level autonomous driving by 2027, focusing on technology innovation, application demonstration, and industry collaboration [2]. Group 1: Development Goals - The plan outlines a vision for large-scale implementation of Level 4 autonomous driving applications, targeting over 6 million passenger trips and 80,000 TEU in cargo transport by 2027 [2]. - It aims to create a comprehensive ecosystem for smart connected vehicles, achieving international competitiveness in key technologies and industry scale [2]. Group 2: Key Tasks - **Diverse Application Scenarios**: - Expand passenger vehicle applications through organized smart taxi operations and pilot projects for Level 3 autonomous vehicles [3]. - Enhance commercial vehicle applications in key locations like airports and train stations, transitioning to fully unmanned operations [3]. - Promote the deployment of autonomous equipment in urban inspection, logistics, and municipal services [3]. - **High-Energy Innovation Elements**: - Establish a digital twin training ground for autonomous driving, accumulating extensive data for model training [4]. - Develop a unified data monitoring platform for smart connected vehicles to ensure real-time operational oversight [4]. - Gradually expand open areas for autonomous driving, focusing on major urban zones and transport hubs [4]. - **Innovative Industry Ecosystem**: - Implement key technology research initiatives for advanced hardware and software solutions in autonomous driving [6]. - Build a world-class automotive industry cluster in regions like Pudong and Jiading, focusing on smart connected vehicles and key components [6]. - Strengthen testing and validation capabilities for autonomous systems through dedicated laboratories and simulation technologies [6]. Group 3: Support Measures - **Policy Support**: - Enhance data management mechanisms and establish a comprehensive safety assurance system for autonomous driving [7]. - **Financial Support**: - Encourage investment in startups focused on smart connected vehicles and support established companies in accessing diverse financing channels [7]. - **Talent Development**: - Promote talent acquisition in the smart connected vehicle sector and foster collaboration between enterprises and educational institutions [7]. Group 4: Regional Collaboration - Streamline testing and application management across the city, ensuring data sharing and coordinated operations [8]. - Foster collaboration within the Yangtze River Delta region to enhance testing capabilities and facilitate large-scale applications [8].

Group 1 - The article emphasizes the increasing demand for corporate training and job counseling in the autonomous driving sector, highlighting the need for diverse training programs ranging from technology updates to industry development summaries [2][4]. - There is a notable interest from individuals seeking guidance, particularly those struggling with resume enhancement and project experience [3]. - The company is inviting professionals in the autonomous driving field to collaborate on various initiatives, including technical services, training, course development, and research guidance [4][5]. Group 2 - The primary focus areas for collaboration include roles such as autonomous driving product managers, 4D annotation/data closure, world models, VLA, large models for autonomous driving, reinforcement learning, and end-to-end solutions [5]. - The job description indicates that the training collaboration targets both B-end (enterprises, universities, research institutes) and C-end (students, job seekers) audiences [6]. - Interested parties are encouraged to reach out for further consultation via WeChat [7].