本文旨在面向公共交通机构、私人出行运营商和城市规划者，达成两个目标：一是揭示自动驾驶出 租车（Robotaxis）部署中 被忽视的拥堵风险 ，二是概述将自动驾驶汽车整合到城市出行系统的 实 用规则 。 无拥堵城市的迷思 城市规划者总是容易被美好的神话吸引，而今天最受欢迎的神话是：自动驾驶出租车将神奇地治愈交通 堵塞。理论上是这样的：自动驾驶出租车意味着更少的私家车、更少的停车位和更开心的通勤者。科技 倡导者常宣称，自动驾驶汽车将消除停停走走的交通状况，提升道路容量，优化车流，从而减少拥堵。 但现实却大相径庭——因为数字根本对不上。想象一辆自动驾驶的网约车，在没有乘客的情况下，不断 在市中心绕行，寻找乘客。现在想象一下，这样的车有成千上万辆。我们正在 被推销一种伪装成进步 的拥堵 ，而令人不安的真相被掩盖在光鲜的技术演示之下。城市正在梦游般地步入一场交通噩梦—— 这场噩梦并非由人为错误引发，而是由人工智能驱动。 自动驾驶出行的隐藏现实 这一严峻现实在最近的全球出行讨论中凸显出来，并凝结成 科尔尼的一个关键观点：未经管理的自 动驾驶技术将倍增交通拥堵，而非减少它 。 一项MIT研究发现，大多数美国城市官员对自动驾 ...

小米集团 20251118 摘要 小米集团 2025 年第三季度总收入达 1,130 亿元人民币，同比增长 2.5%，创历史新高；调整后净利润为 113 亿元人民币，同比增长 81%，同样创下新高，显示出强劲的盈利能力。 小米 17 系列智能手机销量较上一代增长 30%，高端版本占比超过 80%，Pro Max 型号在 6,000 元以上市场取得突破，表明高端化战略 取得显著成效，提升了品牌溢价能力。 2025 年第三季度，小米在全球智能手机出货量中位列前三，市场份额 为 13.6%，在中国大陆市场份额达到 14.9%，并在拉丁美洲和中东地 区排名第二，欧洲市场份额达到 20.9%，全球市场份额稳步提升。 小米物联网业务收入达到 276 亿元人民币，连续七个季度同比增长，毛 利率达 23.9%；物联网平台连接设备超 10 亿，智能家电工厂投产，年 产能达 700 万台，预示着物联网生态的持续扩张。 小米全球月活用户达 7.42 亿，同比增长 8.2%；互联网服务收入达 94 亿人民币，同比增长 10.8%，毛利率高达 76.9%；广告业务收入 72 亿 人民币，同比增长 17.4%，互联网服务成为重要的增长引 ...

2025年作为"十四五"规划收官关键节点，汽车产业正经历电动化、智能化、绿色化的深度转型。此次战 略合作高度契合国家"双碳"战略目标，不仅是公司智慧物流战略的重要里程碑，更是汽车物流行业向智 能化、绿色化转型的实践。未来，双方将通过构建"技术赋能+场景落地"的创新模式，充分发挥各自优 势，共同推动汽车物流行业实现效率提升与安全升级的高质量发展。 长久物流作为国内领先的汽车行业综合物流服务商，拥有覆盖全国的物流网络体系和丰富的运营场景， 在行业中占据着举足轻重的地位。该公司核心业务涵盖整车运输、仓储管理、零部件物流、社会车辆物 流及网络平台道路货物运输等全链条服务，凭借深厚的行业积淀为客户提供一体化解决方案。 希迪智驾作为全球自动驾驶技术领军企业，专注于自动驾驶矿卡及物流车、V2X技术及智能感知解决方 案的研发，并提供以专有技术为基础的尖端产品及解决方案，为自动驾驶技术的发展和应用提供了强大 的技术支持。 基于对智能驾驶技术在物流领域变革性价值的共识，长久物流与希迪智驾决定共同推动自动驾驶技术在 干线运输、仓储作业等场景的商业化落地，提升物流效率与安全水平。 本报讯 （记者李乔宇）近日，北京长久物流股份有限公司 ...

希迪智驾作为全球自动驾驶技术领军企业，专注于自动驾驶矿卡及物流车、V2X技术及智能感知解决方案的研发，并提供以专有技术为基础的尖端产品及解 决方案，为自动驾驶技术的发展和应用提供了强大的技术支持。 基于对智能驾驶技术在物流领域变革性价值的共识，长久物流与希迪智驾将在干线运输智能调度、仓储作业自动化、物流安全预警系统等场景开展合作，共 同探索自动驾驶技术在现代物流体系中的应用路径，通过技术融合与场景落地，推动物流行业向智能化、高效化、安全化方向迈进。 长久物流相关负责人表示，2025年作为"十四五"规划收官关键节点，汽车产业正经历电动化、智能化、绿色化的深度转型。此次战略合作高度契合国家"双 碳"战略目标，不仅是公司智慧物流战略的重要里程碑，更是汽车物流行业向智能化、绿色化转型的实践。未来，双方将通过构建"技术赋能+场景落地"的创 新模式，充分发挥各自优势，共同推动汽车物流行业实现效率提升与安全升级的高质量发展。 希迪智驾与长久物流战略合作签约仪式现场（图片来源：长久物流） 据了解，长久物流作为国内领先的汽车行业综合物流服务商，拥有覆盖全国的物流网络体系和丰富的运营场景，在行业中占据着举足轻重的地位。公司核心 ...

由北京理工大学和阿联酋哈利法大学联合组成的"飞鹰"队，是本届赛事中唯一的中国高校代表队。此 前，两校团队曾合作编程自动驾驶赛车，此次转向无人机领域，延续了跨国产学研协作模式 。在比赛 前，北京理工大学空天科学与技术学院副教授莫雳向21世纪经济报道记者详细介绍了"飞鹰"参赛的有关 情况。 由北京理工大学和阿联酋哈利法大学联合组成的"飞鹰"队，是本届赛事中唯一的中国高校代表队。 南方财经 21世纪经济报道记者郑青亭、实习生陈俊康 阿布扎比、北京报道 作为阿布扎比自动驾驶周的核心活动，11月15日，第二届阿布扎比自动驾驶赛车国际联赛（A2RL）将 在亚斯码头赛道举办。自2024年4月首届举办以来，这项由 阿布扎比创新与赛事管理机构ASPIRE主办 的全球性赛事，已成为高校与研究机构展示自动驾驶技术的重要舞台。 本届赛事的奖金池达225万美元，吸引了来自10个国家的11支顶尖团队参赛，较首届的8支有所增加。在 比赛中，各支大学代表队需自主研发车辆的自动驾驶软件，并将其部署到Super Formula方程式赛车上， 在赛道上完成速度与智能的双重比拼。由于所有队伍使用相同的赛车底盘和传感系统，主办方的重点是 确保每台赛车 ...

Investment Rating - The report does not explicitly state an investment rating for the unmanned logistics vehicle industry Core Insights - The unmanned logistics vehicle is defined as an intelligent transport tool based on autonomous driving technology, primarily used in logistics scenarios for express delivery, with applications expanding to industrial parks, airports, and medical centers [3][5] - The primary application scenario for unmanned logistics vehicles is the delivery service from express points to community stations, which helps logistics companies reduce costs and improve efficiency [5][8] - As of 2024, the scale of unmanned logistics vehicles in China has exceeded 6,000 units, with urban end delivery being the fastest-growing core scenario [18] - The price of unmanned logistics vehicles has significantly decreased from millions to tens of thousands due to technological breakthroughs, scale production, and market competition [25] Summary by Sections Application Scenarios - Unmanned logistics vehicles are mainly used for short-distance transportation (5-20 km) between express points and community stations, replacing traditional delivery vehicles and reducing labor costs [5][8] - The urban delivery market is the fastest to adopt unmanned logistics vehicles, with cities like Shenzhen achieving daily transport volumes of 80,000 packages and a cost reduction of 1.32 yuan per package [18] Market Segmentation - The market application distribution of unmanned logistics vehicles includes 70% in urban delivery, 15% in rural delivery, and 10% in cold chain logistics [12][13] - The cold chain logistics demand is projected to reach 365 million tons, with a year-on-year growth of 4.3%, driven by fresh e-commerce and medical delivery scenarios [18] Cost Dynamics - The price of unmanned logistics vehicles is expected to continue decreasing due to advancements in technology, particularly in the localization of key components like LiDAR and batteries [25] - The operational costs of unmanned logistics vehicles are significantly lower than traditional fuel vehicles, with reduced labor and energy consumption [25] Policy Impact - China's supportive policies have transitioned the unmanned logistics vehicle industry from pilot exploration to large-scale implementation, with sales increasing eightfold in the past three years [31] - In contrast, the U.S. and EU face limitations due to regional policies and high adaptation costs, affecting market promotion [31] Competitive Landscape - The market is characterized by a "head-led, scenario-segmented, ecosystem-coordinated, and standard-unified" competitive structure, with major suppliers categorized into three types: autonomous driving technology firms, delivery scenario-focused companies, and automotive background firms [38] - The competition is shifting from a focus on technology to ecosystem collaboration, with logistics giants and tech companies forming alliances [38]

Core Viewpoint - The autonomous driving industry is gaining momentum, providing more financing opportunities for startups, exemplified by Vay's upcoming investment from Grab of up to $60 million [1][4]. Group 1: Investment and Business Expansion - Vay, a Berlin-based startup focused on remote-controlled car rentals, is set to receive an investment from Grab, pending regulatory approval, expected to be completed by the end of the year [1]. - Following the initial investment, Grab may invest an additional $350 million based on agreed mileage targets within a year [1][4]. - Vay plans to leverage Grab's investment to expand its operations in the U.S. market, having already launched services in Las Vegas in January 2024 [1][4]. Group 2: Market Competition and Strategy - The remote driving sector in the U.S. is becoming increasingly competitive, with companies like Waymo announcing new autonomous taxi services in multiple cities [4]. - Grab's investment in Vay is part of its strategic initiative to support the development of remote driving technology, despite Grab not having a direct presence in the U.S. market [4]. - Vay positions its remote driving rental service as a complement to autonomous taxi services, targeting consumers who prefer not to own a car [4]. Group 3: Cost Efficiency and User Experience - Vay's service allows users to utilize vehicles without ownership, requiring only a driver's license, and alleviating parking concerns [4]. - The operational model and lightweight hardware system enable Vay to offer services at approximately half the cost of traditional ride-hailing services [4]. Group 4: Future Vision and Collaborations - Vay aims to create a "global remote driving platform," expanding beyond electric vehicle rentals into commercial and enterprise services [6]. - The company has partnered with Kodiak Robotics for autonomous truck services and has previously raised $131.8 million from various investors [6]. - Grab's collaboration with Vay is also focused on data accumulation and AI training, which could accelerate advancements in autonomous driving technology [5].

Core Viewpoint - WeRide has received approval from the UAE federal government to operate a fully autonomous Robotaxi service in Abu Dhabi, marking a significant milestone in the commercialization of autonomous driving outside the United States [2][3]. Licensing and Operations - The license allows WeRide to operate Robotaxi services without a safety driver, initially through Uber and TXAI platforms in Abu Dhabi, with more operational details to be announced soon [3]. - The approval was granted by the Regulations Lab under the UAE Cabinet Secretariat, which evaluates innovative projects for future economic development [4]. - WeRide previously obtained the first autonomous driving road test license in the UAE in July 2023, allowing nationwide testing and operations under regulatory requirements [5]. Collaboration and Expansion Plans - Since 2021, WeRide has collaborated with TXAI for public Robotaxi operations in Abu Dhabi, and plans to launch a partnership with Uber in December 2024, creating one of the largest Robotaxi fleets outside of China and the U.S. [5]. - By July 2025, the operational area will expand to cover nearly half of Abu Dhabi's core urban areas, including Al Reem Island and Al Maryah Island, with full coverage expected by the end of 2025 [5]. Performance Metrics - As of October 2025, WeRide's Robotaxi service in Abu Dhabi has accumulated nearly 1 million kilometers of driving distance, and the new license allows for the elimination of safety drivers, enabling the service to achieve break-even on a per-vehicle basis [6]. - Testing for the fully autonomous Robotaxi service began in the second quarter of 2025, focusing on verifying the reliability of the autonomous driving system [6]. Future Growth - This landmark license lays a solid foundation for WeRide's expansion in the Middle East, with plans to grow the Robotaxi fleet to 1,000 vehicles by 2026 and potentially to tens of thousands by 2030 [8].

Core Insights - The autonomous driving industry is gaining momentum, providing more financing opportunities for startups, exemplified by Vay's announcement of a $60 million investment from Grab [1][3] - Vay, a Berlin-based startup, specializes in remotely controlled rental cars and plans to launch operations in Las Vegas in January 2024, despite not yet operating in Germany due to regulatory uncertainties [3][4] - The investment from Grab is part of a strategic move to support remote driving technology, with potential for an additional $350 million investment based on performance metrics in the U.S. market [1][3] Company Overview - Vay operates a hybrid model combining technology and human operation to remotely control rental vehicles, allowing users to drive without owning a car while eliminating parking concerns [4] - The service costs approximately half that of traditional ride-hailing services due to Vay's lightweight hardware system and operational model [4] - Vay aims to create a global remote driving platform and has expanded into commercial services, partnering with Kodiak Robotics for autonomous trucking [4][5] Market Context - The U.S. remote driving sector is becoming increasingly competitive, with companies like Waymo launching autonomous taxi services in multiple cities [3] - Grab, while publicly listed on NASDAQ, has not directly entered the U.S. market, and its investment in Vay is seen as a strategic initiative to enhance its capabilities in remote driving technology [3][5] - Grab has also invested in several autonomous driving startups, indicating a growing interest in the sector, as highlighted by NVIDIA's recent $500 million investment in the UK startup Wayve [5]

Group 1 - Tesla shareholders overwhelmingly approved a historic compensation plan for CEO Elon Musk, potentially worth up to $1 trillion if all targets are met, with full implementation expected by 2035 [1][2] - The plan will increase Musk's ownership stake in Tesla from approximately 12% to about 25% if the ambitious financial and production goals are achieved [1] - Over 75% of Tesla shareholders supported the plan, indicating strong investor confidence in Musk's leadership and the company's future [1] Group 2 - To fulfill the "astronomical" compensation promise, Tesla must continue to excel in multiple emerging fields, including electric vehicles, autonomous driving technology, robotics, and AI manufacturing [2] - Analysts emphasize that the Optimus robot must demonstrate real commercial and production value, rather than merely being a "dancing showpiece" [2] - The record compensation plan reflects a significant bet by shareholders on the company's technological transformation and industry expansion over the next decade [2]