In April, as several electric heavy trucks and L4-level autonomous driving heavy trucks departed from the Snotrans Guangzhou Logistics Park, a green smart logistics corridor connecting the Guangdong-Hong Kong-Macao Greater Bay Area and the Yangtze River Delta Economic Belt—the Snotrans “Yuehu” Green Express product—officially began operation. The “Yuehu” Green Express is an upgraded product of the China Snotrans Green Express series following the “Bay Area Cross-border” Green Express. Building on the original service model, this product adds an L4-level autonomous heavy truck, marking the establishment of a dual-line green transportation service system of “cross-border + domestic” for China Foreign Transport. Wang Jian, Deputy General Manager of Sinotrans, along with representatives from Guangdong provincial government departments, customers, partners, and industry associations, attended the launch ceremony for the renewal and upgrade of the “Yuehu” Green Express products. The “Yuehu” Green Express product connects the Guangdong-Hong Kong-Macao Greater Bay Area and the Yangtze River Delta economic circles, radiating to core cities such as Guangzhou, Shenzhen, Shanghai, and Suzhou. In the past, this road freight corridor, spanning over 1,500 kilometres, suffered from industry pain points such as high fuel consumption, large carbon emissions, and significant cost fluctuations. Today, the “Yuehu” Green Express products use electric heavy trucks and L4-level autonomous heavy trucks, relying on high-speed energy replenishment networks to achieve green electricity supply along the route. Vehicles depart from the Greater Bay Area and travel directly to the core city cluster of the Yangtze River Delta, with door-to-door delivery times stable within 28 hours. The vehicles used in the “Yuehu” Green Express product are equipped with autonomous driving systems provided by Pony.ai, a strategic partner of Sinotrans, capable of autonomous lane changes, following, obstacle avoidance, and other operations in highway scenarios, with response times reaching milliseconds, effectively reducing safety risks caused by human fatigue.