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文一西路西延工程加速推进 助力杭州打造顶尖科创高地_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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B |     文一西路西延工程（二期）近日传来新消息，项目首条15米直径超大盾构隧道顺利贯通，为全线竣工通车奠定了关键基础。文一西路西延工程采用分期建设模式，其中一期工程已正式通车，对接运溪高架，初步搭建起城西快速通行路网。目前正在建设的二期工程东起狮山路、西至南湖圩堤，采用“地下隧道+地面道路”形式，重点依托超大直径盾构地下施工，最大程度降低对城西成熟生活区、城区道路交通的干扰。

C | 工程东段南线隧道计划于本月贯通，西段北线匝道计划于今年10月贯通。建成后，文一西路西延工程将串联青山湖科技城、南湖科学城与未来科技城，助推南湖融入城西科创大走廊，加速创新要素流通与产业融合，大幅拉近与未来科技城的时空距离，为区域协同发展注入新动能。文一西路持续向西延伸，连通临安青山湖，绝非简单的城市道路拓建升级，而是余杭、临安融城发展的核心纽带。从城市发展格局来看，杭州城西科创大走廊是全市科技创新的核心引擎、长三角科创产业的重要承载地，串联起未来科技城、紫金港科技城、青山湖科技城三大高能级科创平台，集聚了海量科创企业、高端人才与科研资源，是杭州城市西进、产业西拓的核心腹地。

D | 但长期以来，余杭核心科创区与临安青山湖板块存在明显的交通断点，区域内部快速路网体系不完善，仅依靠天目山西路、科技大道等地面道路通行，通行效率低、拥堵常态化，不仅造成市民通勤出行不便，更形成了“产业联动、人才流通、资源共享”三大壁垒，极大制约了城西科创大走廊整体能级提升。未来科技城主打数字经济、人工智能、互联网产业，科创企业密集、产业落地速度快；青山湖科技城聚焦高端装备制造、前沿科研、生物医药等硬核科创领域，拥有大量科研院所与产业试验平台，两大板块产业互补性极强。文一西路西延工程全线贯通后，将搭建起板块间的极速产业通道，彻底打破地域阻隔，推动“研发在未来科技城、落地在青山湖”的科创产业闭环成型，激活城西全域科创产能，助力杭州打造长三角顶尖科创高地。同时，还可以构建起城西核心东西向快速主轴，大幅缩短临安与主城、未来科技城的时空距离，极大缓解城西交通拥堵压力。

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Published on:04:22:14