Workflow
自动驾驶新能源重卡
icon
Search documents
自动驾驶 鄂尔多斯市康巴什区给出的绿色物流答案
Xin Hua Cai Jing· 2025-10-31 08:28
Core Viewpoint - The article highlights the advancements in autonomous driving technology for heavy-duty trucks, particularly in the context of coal transportation in Ordos City, showcasing the collaboration between Karl Power and various industry partners to drive innovation and efficiency in logistics [1][2]. Group 1: Company Developments - Karl Power has developed autonomous driving technology for new energy heavy-duty trucks, with plans to relocate its R&D headquarters to Ordos City by June 2024 [1]. - The company has established R&D and operational centers in Ordos, collaborating with over 30 industry partners, including Huawei and Weichai Power, to form a freight alliance focused on autonomous driving [1][2]. - As of September 2023, Karl Power has deployed 343 intelligent connected heavy-duty trucks in Ordos City, achieving regular testing operations across three core transportation scenarios [2]. Group 2: Industry Impact - The shift towards intelligent and green upgrades in coal mines and factories is creating a significant opportunity for the large-scale application of autonomous heavy-duty trucks in energy transportation and mining logistics [1]. - Karl Power's mixed fleet autonomous driving solution, which combines L2 and L4 technologies, enhances safety by five times, reduces energy consumption by 10%, and can save up to 83% in labor costs [2]. - The cumulative operational mileage of Karl Power's autonomous driving fleet has surpassed 30 million kilometers, transporting over 1 billion ton-kilometers of goods [2]. Group 3: Future Plans - Karl Power aims to expand its cross-city operational network in regions such as Bayannur, Baotou, Wuhai, and Yulin, with plans to open at least two urban trunk logistics routes by the end of the year [2]. - The company intends to increase investment in intelligent connected vehicle-related businesses in Ordos City, contributing to the intelligent transformation of transportation in resource-based cities [2].