Zhongshan driverless logistics vehicles launch expands autonomous delivery network

Operational deployment of driverless logistics vehicles has begun in Zhongshan following a coordinated rollout across four demonstration routes covering a combined distance of 22.4 km. The initiative reflects a structured push toward integrating Level 4 autonomous mobility into urban logistics, enabling consistent and scalable delivery operations. The project is supported by local authorities and involves multiple ecosystem participants, creating a real-world testing ground for autonomous delivery efficiency and safety.

Multi-company collaboration drives deployment

The program brings together leading autonomous driving developers alongside logistics service providers to accelerate adoption. Participants include White Rhino Zhida (Beijing) Tech Co., Ltd., Zelos (Suzhou) Technology Co., Ltd., and Neolix Huitong (Beijing) Technology Co., Ltd., working in coordination with Zhongshan Public Transportation Group, SF Express, and China Post. This collaboration ensures seamless integration across express logistics, food delivery, and last-mile distribution, highlighting the versatility of autonomous delivery systems.

Vehicle capabilities and performance benchmarks

The deployed fleet showcases varied technical capabilities tailored to logistics needs. Rino.ai’s R5 model offers a cargo capacity of 5.5 cubic meters and supports loads up to 800 kg, with a driving range of 120 km under full load conditions. Zelos introduces its Z5 platform with a higher payload capacity of 1,000 kg and an extended range of up to 200 km, along with a detection range of 200 meters enabled by multi-sensor integration. These vehicles incorporate obstacle avoidance systems and redundancy mechanisms to maintain operational reliability even under adverse weather conditions such as rain and fog.

Fleet scale and deployment strategy

Initial deployment includes 15 vehicles from Rino.ai, 10 units from Zelos, and 2 vehicles from Neolix. This phased rollout approach allows for performance validation and operational optimization before scaling. Authorities have outlined plans to significantly expand the fleet to hundreds of vehicles, reinforcing the city’s commitment to advancing smart logistics infrastructure. The initiative also supports broader adoption of China-based autonomous mobility solutions within urban environments.

Impact on last-mile delivery ecosystem

Autonomous logistics vehicles are positioned to transform last-mile delivery by reducing dependency on manual labor, improving delivery consistency, and lowering operational costs. Their ability to operate continuously enhances efficiency for high-frequency delivery services such as e-commerce and food distribution. Integration with existing logistics networks further strengthens scalability, allowing seamless coordination between automated and conventional transport systems. The project demonstrates how autonomous delivery solutions can be embedded into real-world urban logistics frameworks.

Future outlook for autonomous logistics

Expansion plans signal a shift toward large-scale commercialization of driverless logistics technologies. With increasing fleet sizes and broader route coverage, Zhongshan is building a blueprint for smart logistics deployment that can be replicated across other cities. Continuous advancements in sensor technologies, vehicle intelligence, and regulatory support are expected to accelerate adoption. The initiative positions autonomous logistics as a key enabler of next-generation urban mobility and efficient supply chain operations.

Frequently Asked Questions

What are driverless logistics vehicles and how do they work?
Driverless logistics vehicles are autonomous transport systems designed to carry goods without human drivers using advanced sensors, AI algorithms, and navigation systems. These vehicles rely on technologies like LiDAR, cameras, and radar to detect surroundings and make real-time driving decisions. They operate under Level 4 autonomy, meaning they can function independently within defined routes and conditions. Their deployment enhances delivery efficiency, reduces operational costs, and enables continuous operation in urban logistics environments.

What benefits do autonomous delivery vehicles bring to urban logistics?
Autonomous delivery vehicles improve logistics efficiency by enabling consistent, round-the-clock operations while reducing dependence on human drivers. They enhance delivery accuracy, lower operational expenses, and optimize route planning using intelligent systems. These vehicles are particularly effective in last-mile delivery, where frequent stops and short distances are common. Additionally, they contribute to safer road environments through advanced obstacle detection and controlled driving behavior, making them a scalable solution for future smart city logistics networks.