A significant collaboration between leading autonomous driving company Pony.ai and JD Auto Service was announced, aiming to establish a standardized, large-scale service ecosystem for autonomous vehicle fleets. This upstream-downstream industry collaboration model arrives as Tianjin leverages local regulations and industrial support to strategically advance the commercialization of Robotaxi services. It provides a practical template for Tianjin to enhance its intelligent connected vehicle (ICV) industry chain and address gaps in the aftermarket service sector for driverless vehicles.
In January 2024, Tianjin's "Regulations on Promoting the Development of Intelligent Connected Vehicles" took effect, making it one of the earlier cities in China to legislate for the commercial operation of autonomous passenger transport. The regulations explicitly support driverless demonstration operations in taxi scenarios. The city has opened a cumulative 5,389 kilometers of ICV test roads, with the Xiqing National-level Internet of Vehicles Pilot Zone actively progressing tests with no safety driver in the vehicle. In June, the Tianjin Municipal Transportation Commission released a draft management measure for commercial ICV application pilots, detailing rules for Robotaxi road operations, vehicle maintenance, and safety guarantees. This three-tier framework of legislation, infrastructure, and operational norms helps clear institutional hurdles for autonomous driving companies to establish operations in Tianjin.
Concurrently, the Tianjin Economic-Technological Development Area is developing a comprehensive automotive aftermarket industry chain, covering vehicle maintenance, parts remanufacturing, and residual value services. This aligns with and complements the specialized maintenance track for autonomous vehicles being explored by Pony.ai and JD Auto Service.
This strategic partnership is the first comprehensive, in-depth collaboration between a domestic autonomous driving company and a nationwide automotive aftermarket platform. It focuses on two core areas: Robotaxi-specific maintenance and supply chain synergy, establishing a dedicated operation and maintenance system across five key dimensions. Leveraging JD Auto Service's nationwide network of offline stores, the partners will set up grid-based maintenance sites in operational cities like Beijing, Shanghai, Guangzhou, and Shenzhen to reduce autonomous vehicle downtime for repairs. A tiered parts inventory mechanism will be established for special components like autonomous sensors and steer-by-wire chassis, with dedicated workstations set up in core service centers to accommodate the round-the-clock, high-frequency operational rhythm of driverless fleets.
Standardization and Digital Integration
The core breakthrough of this collaboration lies in joint standard development and digital synergy. The partners will jointly formulate a specialized Standard Operating Procedure (SOP) for autonomous vehicles, covering the entire workflow from inspection upon entry, specialized repairs, full-vehicle calibration re-inspection, to compliant handover. This aims to create a replicable and scalable industry maintenance standard. Furthermore, the partners will integrate their respective operation, maintenance dispatch, and settlement digital systems. This will enable fully automated online workflows for reporting issues, assigning tasks, performing repairs, and reconciliation, significantly reducing fleet operation and maintenance coordination costs.
Scaling Commercial Viability
A stable and efficient maintenance system is a core pillar for achieving scalable commercial profitability in autonomous driving. Pony.ai has already established a globally standardized fleet operation system, with its seventh-generation Robotaxi achieving a positive unit economic model in Guangzhou and Shenzhen. According to the company's plan, it aims to operate in over 20 cities globally by 2026, with its fleet size exceeding 3,500 vehicles. By leveraging JD Auto Service's nationwide service network, the company can rapidly establish maintenance support in new operational cities, continuously reduce comprehensive costs for vehicle servicing and parts procurement, minimize losses from prolonged vehicle downtime, ensure sufficient capacity during peak periods, and stabilize the passenger travel experience.
Implications for Tianjin's Industrial Development
From the perspective of Tianjin's industrial development, the large-scale deployment of Robotaxi relies on support from a complete industry chain encompassing technology R&D, vehicle manufacturing, and offline operations and maintenance. While Tianjin currently clusters midstream industrial resources like vehicle manufacturing, smart components, and vehicle-infrastructure cooperative testing platforms, the professional maintenance service system tailored for L4 autonomous vehicles remains in its nascent stages. This collaboration addresses the downstream aftermarket segment of the autonomous driving industry, innovating the business model for operation and maintenance services and providing a clear pathway for Tianjin to attract and cultivate supporting service enterprises for driverless technology.
At the industry level, the maintenance demands of autonomous vehicles differ from those of traditional internal combustion engine and new energy passenger cars. New service categories like sensor calibration and intelligent chassis maintenance are reshaping automotive aftermarket industry standards. Pony.ai has already completed its layout in upstream chip/sensor technology and midstream vehicle/ride-hailing operations. This collaboration now completes the downstream maintenance service segment, forming a closed-loop, complete industry chain. Once implemented in Tianjin, this model could simultaneously foster new types of employment, such as specialized autonomous vehicle maintenance technicians and smart fleet operation managers. This aligns with Tianjin's development goals of cultivating new quality productive forces in intelligent connectivity and enhancing the Beijing-Tianjin-Hebei advanced automotive manufacturing cluster.
Industry analysis suggests that Tianjin, with its solid automotive industrial foundation, fully open test roads, and comprehensive policy system, is actively engaging with leading autonomous driving companies like Pony.ai to discuss establishing local cooperation. The standardized fleet operation and maintenance model created by Pony.ai and JD Auto Service can address Tianjin's ICV industry aftermarket shortcomings. This will help Tianjin achieve commercial demonstration operations for Robotaxi passenger services more rapidly, propelling its intelligent connected vehicle industry from road testing and demonstration applications into a new phase of large-scale, sustainable commercial operation.
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