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开局起步“十五五”：海南渔业第一大县向现代海洋经济发展新高地迈进,开局起步“十五五”：海南渔业第一大县向现代海洋经济发展新高地迈进_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.
。　　海口8月25日电 (记者王子谦)临高县是海南渔业第一大县，渔业产量连续27年全省第一。步入“十五五”，在海南“向海图强”的进程中，这个渔业大县正在进行着渔业的全面转型。　　海南省新闻办公室25日举行的新闻发布会上，临高县农业农村局局长王赵未表示，“十五五”期间，该县锚定“打造现代海洋经济发展新高地”这一目标，以渔业“三走”战略为总抓手，推动产业从“规模扩张”向“质量提升”全面转型，实现高质量发展。　　推动“往岸上走”　　临高县坐拥117.05公里绵长海岸线，毗邻资源丰沛的北部湾核心渔场，境内分布新盈、调楼等7个天然渔港，拥有5200余艘海洋捕捞渔船，年捕捞量超40万吨。

B | 　　王赵未表示，未来五年，临高将锚定建设海南渔业产业融合高质量发展中心、海南水产品交易加工及冷链物流中心、滨海国际休闲渔业中心“三大”功能定位，充分释放国家级沿海渔港经济区试点县的优势，构建“一区一城一路”渔业发展新格局。

C | 　　在硬件上，新盈、调楼等5大渔港“十五五”期间将全部竣工投用，届时渔港的停泊补给、渔获集散、安全保障能力将大幅跃升。

D | 同时，临高启动渔港贯通工程规划建设，将建成联通七港、快速通达、见海率高达45%的渔业产业大道及渔港观光大道。　　产业布局上，临高聚焦临港渔业综合服务、海洋种业与工厂化养殖精深加工、现代渔业装备制造三大方向，进行差异化发展；提档升级新盈中心渔港水产品交易市场，将其打造成琼西北部功能最全、规模最大的水产品交易平台，打通从码头到餐桌的关键一环。　　坚定“往深海走”　　当前，海南渔业正在科技赋能下加快向深远海挺进。

E | 在广阔海域上，抗风浪深水网箱集群布设，养殖从近岸浅海迈向深远海域，助推渔业规模化转型。

F | 图为渔民在临高县后水湾驾船投喂深水网箱里的金鲳鱼。

G | 　记者王晓斌摄　　王赵未表示，临高县将联合中国水产科学院、浙江大学、海南大学以及挪威的顶尖科研机构，合力攻克抗风浪深水网箱、深海绿色养殖、病虫害防控等关键技术瓶颈，高标准打造后水湾、美夏湾、头洋湾三大现代化海洋牧场，把深海变成真正的“聚宝盆”；大力推广“鱼—藻—贝”立体生态混养模式，让渔业生产和海洋生态保护相得益彰、协调发展。　　继续“往休闲渔业走”　　临高县千年耕海牧渔的历史积淀，孕育了“临高渔歌”“哩哩美”调式、渔网编织技艺等独具魅力的渔家文化。十天前的南海开渔日，临高县以开渔节庆为载体，整合非遗渔歌、渔家民俗、海洋特色品牌资源，吸引大批岛内外游客。　　海风中，休闲渔船载着游客驶向大海；沙滩上，人们拿起工具，挽起裤脚赶海拾贝……一幕幕烟火场景，正是临高休闲渔业红火发展的生动注脚。图为临高县新盈镇举行别具特色的海上渔家龙舟赛。　记者骆云飞摄　　“我们将依托原生态的滨海岸线和浓郁的渔家民俗文化，深度开发海钓体验、渔港观光、渔家民宿、海鲜美食等多元业态。