李哲梁表示："建设上海市出行服务可信数据生态，既是上海交通行业积极响应国家《可信数据空间发展行动计划（2024-2028年）》的重要部署；也是我们 加快交通行业数字化转型、推动公共交通优先发展、提升超大城市交通治理现代化水平，以及促进交通出行数据要素市场化配置改革的关键抓手。" 11月25日，第五届全球数商大会在上海开幕。作为大会重要组成部分，由上海随申行智慧交通科技有限公司主办的，以"数聚出行，可信未来"为主题的分论 坛同期举行。 上证报中国证券网讯（记者 俞立严）11月25日，第五届全球数商大会在上海开幕。作为大会重要组成部分，由上海随申行智慧交通科技有限公司主办的， 以"数聚出行，可信未来"为主题的分论坛同期举行。论坛现场，在上海市交通委总工程师李哲梁、市数据局总工程师刘迎风、上汽集团副总裁吴冰的见证 下，上海数据集团有限公司首席数据官沈可携手上海随申行智慧交通科技有限公司总经理唐韶，共同发布上海市出行服务可信数据生态。这也是全国首个聚 焦交通出行领域的行业数据空间，为智慧交通的建设与发展树立了重要的示范标杆。 上海市出行服务可信数据生态是在上海市数据局、市交通委指导下，由上海市"出行即服务"（MaaS ...

Core Insights - The excitement surrounding Tesla's Robotaxi has evolved into a more complex understanding of its real-world implications and challenges as the initial hype has cooled down [3][5]. Group 1: Disruptive Potential of Robotaxi - The concept of Mobility as a Service (MaaS) suggests that the value of cars will shift from horsepower and range to the service value they can generate daily, potentially transforming millions of Tesla owners' vehicles into a decentralized transportation network [5]. - Tesla's "pure vision" approach, relying solely on cameras and neural networks, contrasts with competitors like Waymo that use expensive lidar and high-definition maps, offering the potential for low marginal costs and rapid global scalability if successful [5]. - The average usage of a private car is less than 1.5 hours per day, while Robotaxi could increase this to 16 hours, redefining cars from consumer goods to production assets and altering valuation logic across the automotive industry and urban environments [5]. Group 2: Key Challenges for Decision Makers - Questions regarding the technological route of FSD V12's "end-to-end AI" remain, particularly its performance in extreme weather and ambiguous traffic scenarios, as current tests still require safety drivers and remote control [6][8]. - The business model poses challenges in balancing a self-operated fleet with private car participation, including liability, insurance, and maintenance complexities, especially in competition with established players like Waymo [8]. - The large-scale deployment of Robotaxi will challenge urban charging networks and data centers, necessitating a redesign of insurance pricing and claims processes for autonomous driving, while also impacting suppliers of chips and sensors [8]. Group 3: Internal Insights and Industry Perspective - The company emphasizes the importance of firsthand experience from industry insiders to navigate the uncertainties and opportunities presented by Robotaxi, advocating for direct engagement with experts in the field [9]. - By connecting with top professionals from leading companies, stakeholders can gain valuable insights into the challenges and breakthroughs encountered in real-world testing and commercialization [9]. - The company has access to over 30,000 industry experts, providing a robust network for informed decision-making and strategic planning in the evolving landscape of autonomous vehicles [9]. Conclusion - The introduction of Tesla's Robotaxi is expected to create significant long-term industry ripples, urging stakeholders to actively engage and leverage insights from top experts to seize emerging opportunities [29].