Core Viewpoint - The article highlights the increasing deployment and testing of autonomous delivery vehicles in Shenzhen, indicating a strong growth trend in smart logistics and its potential to enhance delivery efficiency, especially for last-mile logistics during peak periods like "618" [1] Group 1: Industry Development - Over 40 autonomous delivery vehicles from companies like Meituan, SF Express, and JD.com were tested together in Shenzhen's logistics park to prepare for the upcoming "618" shopping festival [1] - Currently, there are nearly 300 functional autonomous vehicles operating on the roads in Shenzhen, with projections suggesting this number will exceed 1,000 by the end of 2025, indicating robust growth in the sector [1] Group 2: Operational Efficiency - Autonomous delivery vehicles primarily handle the last-mile delivery of goods, automating the transportation from storage centers to customers, which allows for 24/7 operation [1] - The use of autonomous vehicles significantly improves logistics delivery efficiency and coverage, particularly addressing the labor shortages during nighttime delivery services, thereby reducing costs in last-mile logistics [1]

南都讯 6月17日，一场规模空前的"自动配送大练兵"在深圳坪山大工业区格兰达物流产业园上演。40余 台自动配送车齐聚于此，进行集中"联调联试"。美团自动配送车、顺丰无人物流配送车、京东第六代无 人配送车等多种车型在园区和周边网点往来穿梭，进行复杂路况通行、货物装卸、系统稳定性等全方位 测试，护航618购物节物流高效运转。 当下，深圳正以"全城开放"的姿态，率先打造自动配送新赛道全国标杆，不仅实现全市功能型无人车运 营规模和自动配送单量持续领跑全国，也吸引顺丰、美团、新石器等众多企业加速在深圳聚集落地，预 计到今年年底全市功能型无人车数量将突破1000台。 无人车应用短途货运、快递配送等领域 深圳正走在自动配送行业发展的前沿，这里不仅有丰富的场景需求，更有完整的产业生态。6月17日联 调联试当天，恰逢暴雨恶劣天气。记者在现场看到，即便在雨中，配送车、货运车、零售车等各种车型 也可以在复杂路况有序穿梭，承担货物装卸等配送任务。 美团自动车配送部公共事务总监秦孟强介绍，美团自动配送车已在室外全场景完成超500万单配送。在 深圳龙华、坪山等多个区，通过与骑手协同作业，为市民提供生鲜食杂的即时配送服务。这些自动配送 车 ...

618购物节临近，物流配送保障进入关键期。6月17日，一场规模空前的"自动配送大练兵"在深圳坪山大 工业区格兰达物流产业园上演。40余台自动配送车在这里集中"联调联试"，美团自动配送车、顺丰无人 物流配送车、京东第六代无人配送车组成的"自动配送军团"，为保障购物节物流高效运转做最后冲刺。 年底无人车将超1000台 这场由深圳市智能网联交通协会组织的集中调试活动，集结了美团、顺丰等多家行业头部企业的无人 车。现场，配送车、货运车、零售车等多种车型穿梭往来，进行着复杂路况模拟、货物装卸、系统稳定 性等全方位测试。 深圳市智能网联交通协会功能型自动车专委会副主任、深城交（301091）网联街区PDT副总经理刘轼介 表示，组织这次大规模联调，核心目标就两个：一是实战检验，确保618期间自动配送运力稳定高效； 二是集中展示，让大家直观看到，深圳的自动配送技术，正在如何实实在在地为物流行业"减负增效"。 深圳作为全国智能网联汽车发展的先锋，在推动产业快速落地的同时，始终将安全与规范放在首位。现 场车辆都遵循严格的"统一标识、全量接入监管平台"等管理要求，确保安全有序运行。 美团自动车配送部公共事务总监秦孟强介绍，目前美团 ...

Group 1 - The Ministry of Transport has completed the consultation process for the top-level design of the "Artificial Intelligence + Transportation" implementation plan, which will accelerate the introduction of related policies [1][2] - The implementation plan aims to deeply integrate artificial intelligence into the transportation sector by 2030, establishing a comprehensive intelligent transportation network and governance system to enhance high-quality development and safety [1][2] - Key foundational supports include the construction of a comprehensive transportation model and the planning of major technological projects for an intelligent transportation network [2] Group 2 - The Ministry of Transport is focusing on five major intelligent systems, including autonomous driving, intelligent traffic infrastructure, and smart logistics systems, to drive the development of an "Artificial Intelligence + Transportation" industry cluster [2] - Shenzhen has become the first city in China to allow fully autonomous vehicles on public roads and is a pilot city for the "vehicle-road-cloud integration" application, showcasing significant achievements in automated delivery systems [3] - Shenzhen has deployed over 300 automated delivery vehicles across various scenarios, supported by the issuance of the first comprehensive technical guidelines for road testing and demonstration applications for intelligent connected vehicles [3]

在这个过程中，自动配送整个产业链已经取得了较大的发展。比如，激光雷达成本迎来了量级下降，这让自动配送车整车成本从30万至40万元大幅降至10万 元以内；深圳等城市开放全市路网，为大规模商业验证提供有力支持。在充换电方面，美团与比亚迪、宁德时代等企业合作，探索1分钟自动化换电技术。 此外，生态协同不断加强，通过整合上下游资源，利用社会化场站资源进行停车、维修保养等工作，推动硬件标准与法规规范化。 6月1日，在2025（第三届）未来汽车先行者大会智能网联汽车商业化论坛上，美团副总裁、自动配送部总经理夏华夏表示，在政策管理逐步规范、资源共享 持续突破的背景下，自动驾驶配送行业迎来全新发展阶段。自动驾驶配送正从1.0迈向2.0，并终将抵达3.0，这三个阶段层层递进，将重塑整个物流行业格 局。 夏华夏提到，过去近十年，自动驾驶配送处于1.0技术探索期。这个阶段企业着重打磨自动驾驶算法，不断提升车辆行驶的安全性与速度，使其能在主路上 稳定运行；同时积极探索不同车型、传感器组合，研究各类商业场景的适用性。在这一阶段，行业逐渐解决了技术场景碎片化问题，优化产品成本结构，为 后续发展奠定坚实基础。 如今，自动驾驶配送已进入2. ...