China Autonomous Electric Cargo Truck Logistics Network Infrastructure Feasibility Study with Supply Chain Market Outlook

Executive Viability Abstract

This feasibility study evaluates the implementation of a large-scale Autonomous Electric Cargo Truck (AECT) network across China's major logistics corridors. Leveraging China's leadership in EV battery technology (CATL/BYD) and 5G-V2X infrastructure, the project aims to reduce long-haul operational costs by 40% while aligning with the nation's 2060 carbon neutrality goals. The study finds the project highly viable due to the maturity of the domestic supply chain and strong government subsidies for 'New Infrastructure' projects.

## Market Analysis China's road freight market is valued at over $1.1 trillion USD. The industry faces chronic driver shortages and rising labor costs (increasing 12% annually). High-density corridors like the Jing-Jin-Ji, Yangtze River Delta, and Pearl River Delta provide ideal conditions for autonomous platooning. E-commerce giants like JD.com and Alibaba (Cainiao) are actively seeking automated middle-mile solutions to optimize their supply chain market outlook. ## Technical Feasibility The technical stack utilizes L4 autonomous driving systems integrated with the Beidou Navigation Satellite System for centimeter-level positioning. Battery swapping technology is identified as more feasible than stationary charging for heavy-duty trucks to minimize downtime. The deployment of 5G-V2X (Vehicle-to-Everything) along the G7 and G4 highways allows for low-latency remote intervention and cooperative sensing. ## Capex Summary Initial capital expenditure is estimated at $8.4 Billion USD for Phase 1. This includes: 1) $4.5B for a fleet of 30,000 electric heavy-duty trucks; 2) $2.2B for 1,200 automated battery swapping stations; 3) $1.2B for the 'Logistics Cloud' AI dispatching center; 4) $0.5B for edge computing nodes along primary highways. ## Revenue Model The network operates on a Freight-as-a-Service (FaaS) model. Revenue is generated through: 1) Per-kilometer freight fees (15% lower than traditional diesel rates); 2) Subscription-based access for third-party logistics (3PL) providers; 3) Data monetization through supply chain visibility tools; 4) Carbon credit sales under the China Certified Emission Reduction (CCER) scheme. ## Financial Projections Operational expenses (OpEx) are projected to drop by 45% compared to internal combustion engine (ICE) trucks due to lower energy costs (electricity vs. diesel) and the removal of driver wages. Break-even is anticipated as the network reaches 65% capacity utilization in Year 5.