Introduction

In early April, under the deep night sky of Pingshan, Shenzhen, JD Logistics’ intelligent delivery vehicle, known as the ‘Lone Wolf,’ completed its loading process and slowly departed from the station. Its cargo hold was brimming with daily fast-moving consumer goods, including fresh produce, grains, oils, and other essentials, destined for front-end warehouses and stores in the Longgang district.

Two cross-district nighttime routes, each extending over 50 kilometers one-way, seamlessly connected multiple logistics nodes across Pingshan and Longgang. This marked a significant milestone: Shenzhen’s first-ever authorization for functional autonomous vehicles to operate on roads at night.

Shenzhen’s decision has undeniably accelerated the nationwide scale-up and commercialization of unmanned delivery services.

Let’s delve deeper into this topic with insights from ‘Autonomous Vehicles Are Here’ (WeChat Official Account: Autonomous vehicles have arrived).

(For further reading, please click: ‘Shenzhen’s Autonomous Driving Safety Lab Takes Off: As Tesla, Huawei, Geely, Baidu, Jiushi, Neolix Lead in Autonomous Driving, the Special Economic Zone Equips AVs with a ‘Safety Foundation’ Using Five Locks’)

I. Nighttime Road Rights: The ‘Efficiency Revolution’ Unlocked by a Single Approval

Shenzhen’s decision to grant nighttime road rights to autonomous vehicles carries both symbolic and practical significance.

This move is not a hasty ‘green light’ but rather the outcome of ‘scientific judgment and rigorous review.’ A three-tier review mechanism, involving enterprise applications, traffic impact assessments, and expert panel evaluations, has been implemented to ensure strict scrutiny of technical specifications, regulatory compliance, and operational safety.

Regulatory authorities have established a comprehensive and systematic evaluation system to assess the reliability of autonomous driving technology and the operational management capabilities of enterprises. This process is akin to a rigorous ‘exam,’ where only enterprises and vehicles meeting all criteria are granted ‘passes’ for nighttime operations.

This ‘nighttime pass’ serves as ‘official certification’ of the long-term technical accumulation and safe operational record of JD’s Lone Wolf autonomous vehicles.

(For further reading, please click: ‘February Report on Shenzhen’s Functional Autonomous Vehicles: As Couriers Return Home for Chinese New Year, 1,158 AVs Handle 2.01 Million Holiday Deliveries, with Operational Compliance Rising to 96.2%’)

Why are nighttime road rights so crucial? They directly address two core challenges of modern urban logistics: the scarcity of daytime road resources and the surging demand for instant nighttime consumption.

During the day, urban roads are bustling with commuting, socializing, and economic activities. Truck restrictions and frequent congestion severely limit logistics efficiency. However, at night, road resources lie largely idle, while logistics capacity is constrained by human limitations, such as high costs, safety risks, and low willingness for nighttime driving.

JD Logistics’ ‘Night Rider’ model precisely corrects this mismatch. By deploying autonomous vehicles on empty, lightly trafficked roads at night, the company achieves multiple benefits:

• Efficiency gains: Daytime restrictions and congestion are entirely avoided, ensuring predictable travel speeds and timely deliveries.
• Cost optimization: Vehicle assets operate 24 hours instead of 12, sharply reducing per-delivery costs—a direct commercial advantage.
• Enhanced safety: Simpler nighttime road conditions with fewer dynamic obstacles reduce pressure on autonomous systems to handle extreme scenarios, boosting driving safety.

(For further reading, please click: ‘Neolix and Jointown Transform Pharmaceutical Delivery ‘Nighttime Script’: 24-Hour Flexible Capacity Reshapes the Foundational Logic of the RMB 3 Trillion Pharmaceutical Distribution Industry’)

This nighttime road right acts as a key to unlock a blue ocean of economic value creation by leveraging urban ‘idle spacetime.’ It transforms logistics networks from ‘single-shift’ to ‘round-the-clock’ operations, a direct manifestation of urban intelligence enhancing infrastructure efficiency.

II. Role Evolution: From ‘Delivery Person’ to ‘Network Stitcher’ in a Stunning Transformation

The real ingenuity lies in how these nighttime autonomous vehicles perform multiple roles beyond a single task.

JD Logistics executives describe a new operational philosophy: ‘The same vehicle handles last-mile delivery by day and cross-district routes by night...serving as both warehouse-to-warehouse transfer and last-mile delivery.’

This means a single autonomous vehicle undergoes multiple role shifts and value superpositions within 24 hours:

• By day: It operates as a ‘last-mile delivery agent’ in communities and commercial areas, fulfilling consumer-facing orders.
• Late at night: It transforms into a ‘cross-district transfer vehicle’ shuttling goods between central hubs and front-end warehouses/stores.
• During the same nighttime journey: It doubles as a ‘mobile replenishment agent,’ loading/unloading goods at multiple nodes along the route for multi-effect station visits.

This ‘daytime last-mile, nighttime warehouse-replenishment’ model shatters the stereotype of traditional logistics vehicles being ‘dedicated to single purposes’ on fixed routes. Autonomous vehicles become flexible, programmable ‘intelligent capacity modules,’ dynamically dispatched to the most needed locations based on real-time network demands to perform the most suitable tasks.

They cease being static ‘points’ in the logistics network and instead become active ‘stitches’ connecting different nodes, linking replenishment, transfer, and front-end operations into an efficient collaborative chain.

The systemic value is profound:

• Maximized asset utilization: Expensive hardware like vehicles, batteries, and sensors achieves nearly 100% utilization, significantly shortening ROI cycles.
• Greatly enhanced network resilience: Facing promotional peaks or sudden demand surges, there’s no need to urgently recruit costly temporary capacity—elastic response is achieved by extending online hours of existing autonomous fleets.
• Liberated human value: Delivery personnel are freed from repetitive, tedious, and safety-risky nighttime driving to focus on customer collection, after-sales service, and exception handling—roles requiring greater human interaction and creativity, maximizing ‘human-machine collaboration’ value.

III. Technological Foundation and Urban Paradigm: Why Shenzhen Again?

Shenzhen never fails to surprise us!

Since August 2025, Shenzhen has pioneered nationwide in establishing and implementing a ‘monthly regular reporting system for functional autonomous vehicles,’ systematically tracking operational, safety, and road right usage data to inform scientific policymaking. It has set an example for unmanned vehicle development and regulation across China!

(For further reading, please click: ‘August 2025 Operational and Development Report on Shenzhen’s Functional Autonomous Vehicles: SF Express, STO, ZTO, YTO, Yunda, China Post, Meituan, JD, Neolix, White Rhino, Jiushi, and Others Cover 230,000 Kilometers’)

Under this pioneering institutional safeguard, Shenzhen has now granted autonomous vehicles the first-ever right to conduct nighttime cross-district deliveries—an undeniably higher-level test for autonomous driving technology.

Low light, longer distances, and potential remote disengagement scenarios all demand greater system reliability. JD Logistics’ autonomous vehicles’ accumulation of millions of kilometers in road testing, especially validation of perceptual stability and emergency response capabilities for nighttime scenarios, formed the basis for earning this trust.

Multi-sensor fusion perception systems must ensure flawless identification and decision-making regarding lane markings, traffic signals, and stationary obstacles (e.g., construction barriers) in dim environments. Meanwhile, vehicles remain fully connected to the functional autonomous vehicle management service platform, enabling transparent ‘vehicle-online, personnel-online, management-online’ supervision and providing governments with a ‘safety tether.’

Shenzhen’s pioneering step was inevitable. The city has forged a clear ‘Shenzhen Path’ for autonomous driving commercialization: scenario-driven deployment, technological iteration, and scalable replication.

• Scenario-driven deployment: Over the past year, Shenzhen’s unmanned delivery has evolved from single-point trials to cross-district networks, with over 2,000 daytime routes serving seven districts citywide—building the nation’s first city-level intelligent delivery network.
• Technological iteration: Technologies honed in complex daytime scenarios gain the confidence to handle relatively simpler but absolutely reliable nighttime operations.
• Scalable replication: From single-point and single-district trials to cross-district networks and now ‘24/7’ coverage, scaling up step by step validates the universality of the business model.

This granting of nighttime road rights marks a new phase in this path: from meeting instant consumer demand to optimizing industrial-end supply chain efficiency. It provides a replicable model for the nation—how government-enterprise collaboration can, while ensuring safety, gradually and orderly unlock high-level autonomous driving application scenarios to create tangible economic and social value.

Conclusion

‘Autonomous Vehicles Are Here’ (WeChat Official Account: Autonomous vehicles have arrived) believes that the launch of JD Logistics’ cross-district ‘Night Riders’ in Shenzhen represents a perfect fusion of technology and logistics, a vivid practice of innovation and development.

Shenzhen has once again provided a ‘model showroom’ for cities nationwide in autonomous vehicle nighttime operations. When autonomous vehicles become indispensable ‘infrastructure’ in cities’ midnight hours, a more efficient, intelligent, and resilient future quietly arrives amidst their silent journeys.

What do you think, dear readers?

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