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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 firm Pony.ai launched commercial robotaxi services in Zagreb, Croatia on April 8. Photo:Courtesy of Pony.ai
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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新华社伦敦7月6日电（记者张薇）又一次被伤情笼罩的纳达尔6日与弗里茨激战5盘，最终经过“抢十”局决胜艰难挺进温网男单四强。前女单世界第一哈勒普则继续所向披靡，直落两盘淘汰阿尼西莫娃后收获半决赛席位。36岁的纳达尔对阵比自己小一轮的美国对手，尽管开场第一局即破发成功，给了从未有过大满贯四分之一决赛经验的弗里茨一点教训，但西班牙人随后在自己的发球局表现不尽如人意，接连两次被破，让弗里茨6:3力拔头筹。

C | 第二盘纳达尔4:3领先时申请了医疗暂停并离场治疗。他赛后透露，自己的腹部出现问题，比赛中有多个时刻感觉自己没办法坚持打完比赛。

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然而，一向充满斗志的纳达尔不仅重新上场，而且抓住第12局唯一的破发点破发，以7:5将双方拉回同一起跑线。

E | 接下来的比赛，发球凶猛、进攻强悍的弗里茨6:3再下一城又一次领先，但逆境之下纳达尔顽强坚守，并趁对手发球质量下降破发，7:5扳平大比分。决胜盘两人一番互破战至6:6，“抢十”局纳达尔5:0开局让对手沮丧，最终10:4结束了这场耗时接近4个半小时的鏖战。相比之下，哈勒普当日的晋级显得太过轻松。这位30岁的罗马尼亚名将仅用时1小时3分钟，便以6:2、6:4将比自己年轻10岁的美国新秀阿尼西莫娃淘汰。