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Pony.ai’s autonomous-driving distance tops 100m km as China scales up L4 commercialization_我的网站
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Chinese autonomous-driving company Pony.ai said on Monday that its cumulative autonomous-driving distance worldwide has surpassed 100 million kilometers, marking the latest milestone as China's driverless sector moves from technology validation toward mass production and scaled commercial deployment.
The milestone comes as L4 autonomous driving gains commercial traction across passenger transport and logistics in China, while Chinese companies are accelerating overseas deployment through partnerships with local operators in markets including Europe and Southeast Asia.
Industry experts said that the significance goes beyond rising distance. As commercialization gathers pace, the next phase of competition will increasingly hinge on whether autonomous-driving technology can be deployed at scale, brought down to commercially viable costs and replicated across different transport scenarios and markets.
At a recent media briefing, Pony.ai said that its fourth-generation L4 autonomous electric heavy-duty truck had entered mass production, with commercial operations expected to begin in the coming months. The company plans to deploy 500 to 1,000 trucks over the next two to three years across long-haul freight, bulk cargo transport and port logistics.
A notable part of that transition is the sharp decline in costs. Autonomous-driving hardware costs for Pony.ai's fourth-generation heavy truck are about 70 percent lower than for the previous generation, according to the company.
Similar cost reductions are also emerging in robotaxis. Pony.ai said on its official blog that the bill-of-materials cost of the autonomous-driving kit for its seventh-generation robotaxi has fallen 70 percent from the previous generation, helping the company achieve unit-economics breakeven in Guangzhou and Shenzhen, South China's Guangdong Province.
China's autonomous-driving sector is moving from technology validation to large-scale commercial deployment, underpinned by the rapid accumulation of real-world driving data, Pan Helin, a member of the Expert Committee for the Ministry of Industry and Information Technology, told the Global Times on Monday.
"Continuous road testing allows L4 systems to better adapt to local traffic conditions, laying the groundwork for wider commercial use," Pan said.
China has opened multiple cities to autonomous-driving applications, with commercialization gathering pace. As deployment expands and marginal technology costs fall, autonomous driving is expected to unlock significant commercial value and emerge as a new form of mobility, veteran industry analyst Liu Dingding told the Global Times.
Pony.ai aims to expand its robotaxi fleet to more than 3,000 vehicles by the end of 2026 and operate in 20 cities worldwide, with nearly half of those cities overseas. It also plans to develop an international version of its seventh-generation robotaxi tailored to different regulatory requirements and infrastructure, supporting the deployment of more than 1,000 vehicles in overseas markets.
Pony.ai's ambition also reflects a broader push by Chinese autonomous-driving companies to expand overseas.
On August 3, WeRide announced a partnership with Danish shared-mobility platform GreenMobility to deploy autonomous ride-hailing services in Denmark, marking its first entry into the Nordic region and sixth European market. Subject to regulatory approval, the service is expected to open to the public in the first half of 2027 using WeRide's latest GXR L4 robotaxi.
WeRide said on its website that its autonomous-driving products are now deployed in more than 40 cities across 12 countries. The company holds autonomous-driving permits in eight markets and operates a global L4 fleet of more than 3,000 vehicles.
A similar expansion is taking place in public transport. On July 17, Chinese autonomous-driving company MOGOX announced a strategic partnership with Singapore-based ComfortDelGro Bus. The two companies will cooperate on autonomous-vehicle deployment and operations, commercial expansion and coordination with regulators.
Pan said that China's autonomous-driving sector has two key advantages: a broad supplier base for major components and a large domestic market that allows companies to deploy services widely and accumulate real-world data. Advances in simulation and synthetic-data technologies have further strengthened the sector's ability to train and refine autonomous-driving systems.
Liu pointed to the cost benefits of scale. As deployment expands, the cost of key automotive-grade components such as lidar and chips continues to fall, improving the economics of commercial operations and creating more room for technological iteration, he said.
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二 | —— 户外自主游戏教研活动 —— 聚焦自主 共研户外自主游戏 游戏是孩子的天性，而自主游戏则是他们探索世界、学习成长的最佳途径。 ——玛丽亚·蒙特梭利 户外活动是幼儿在自然广阔的环境中，根据个人喜好和需求自主选择、自主探究、自主表现的一种活动。它不仅能满足幼儿锻炼身体和认识世界的需求，还能激发他们的好奇心和求知欲。随着“深度学习”理念的深入，我们开始思考：如何在户外活动中推动幼儿的深度学习？以达到深度学习的目的呢？12月13日，我园组织开展了“聚焦户外自主游戏 引导幼儿深度学习”——户外自主游戏专题教研活动。 教研一：游戏体验，追随幼儿 为了更好的体验游戏的乐趣，老师们化身成“孩子”，选择幼儿园最常见的材料，全体老师一起乐运动，气氛顿时活跃了起来。大家分组行动，参与到游戏中，在轻松愉快的氛围中，不仅感受到了游戏的乐趣，更深刻体会到了孩子们在游戏中的需求和感受。 教研二：现状分析，交流准备 户外自主游戏不仅能让孩子们亲近自然，锻炼身体，还能培养他们的社交能力、创新思维和解决问题的能力。保教主任向笑老师从户外自主游戏的价值、幼儿深度学习的表现与特征等方面带领大家针对户外自主游戏进行了初步共学交流。
三 | 教研三：分组研讨，思维碰撞 在初步的共学交流结束后，老师们围绕游戏案例：《小小外卖员》、《巴巴警局》、《轨道变变变》进行分组观察、讨论。各小组分别从“游戏环境、游戏材料、幼儿知识经验、教师指导”四方面进行讨论交流。 分组研讨 各组分享 教研四：总结提升，学以致用 针对老师们的交流和分享，向笑老师对老师们的研讨进行梳理，并从现阶段园所户外自主游戏开展存在的问题和需改进之处等方面进行深度剖析，进一步理清了组织开展自主游戏的思路。
四 | 希望老师们能以此教研为契机，关注幼儿自主游戏、引导幼儿深度学习。
五 | 老师们在活动后，也将本次教研心得体会整理总结出来，收获满满。 本次户外自主游戏教研活动，为老师们提供了一个交流平台，使老师们对幼儿户外自主游戏的支持策略有了更深入的认识和理解。
六 | 在今后的工作，我们将继续加强幼儿户外自主游戏的研究和实践，探索更多有效的支持策略，以促进幼儿游戏水平的提高和综合素质的发展。 编辑：舒彤 审核：向笑 审批｜李思思 审核｜陈铃淋。
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