主办:陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊:1976年

汽车实用技术 ›› 2026, Vol. 51 ›› Issue (6): 136-141.DOI: 10.16638/j.cnki.1671-7988.2026.006.024

• 标准·法规·管理 • 上一篇    

面向工业园区场景的智能驾驶商用车落地 应用实践

郭嘉璐,田娜梅,王一哲   

  1. 陕西重型汽车有限公司
  • 发布日期:2026-03-24
  • 通讯作者: 郭嘉璐
  • 作者简介:郭嘉璐(1992-),女,硕士,工程师,研究方向为自动驾驶整体解决方案开发

The Practical Application of Intelligent Commercial Vehicle Driving in Industrial Park Scenarios

GUO Jialu, TIAN Namei, WANG Yizhe   

  1. Shaanxi Heavy Duty Automobile Company Limited
  • Published:2026-03-24
  • Contact: GUO Jialu

摘要: 近年来,随着智能驾驶技术的发展,以及运输行业司机短缺、老龄化等困境的加剧, 工业园区场景对智能驾驶商用车需求逐年增加。为探索智能驾驶商用车在工业园区场景中可 行的商业化落地路径,陕西重型汽车有限公司对以钢厂为代表的工业园区场景进行了大量实 车测试验证工作,开展了深入的场景化实践研究,积累了丰富的场景数据和测试运营经验。 文章重点分析了工业园区场景的典型工况及对应的功能需求,并从技术与管理层面分析了落 地工作所面临的挑战,提出了工业园区场景智能驾驶商用车落地应用建议,为研究智能驾驶 商用车在工业园区的规模化应用提供了可借鉴的经验,对促进传统工业物流的智能化转型具 有重要意义。

关键词: 工业园区;智能驾驶商用车;室内定位;人车交互

Abstract: In recent years, with the advancement of intelligent driving technology and the challenges faced by the transportation industry-such as driver shortages and an aging workforce-the demand for intelligent driving commercial vehicles in industrial park scenarios has been increasing year by year. To explore viable commercialization pathways for intelligent driving commercial vehicles in industrial park settings, Shaanxi Heavy Duty Automobile Company Limited has conducted extensive real-world testing and validation in scenarios represented by steel plants, carried out in-depth scenario-based practical research, and accumulated a wealth of scenario data and operational testing experience. This paper focuses on analyzing the typical working conditions and corresponding functional requirements in industrial park scenarios, examines the challenges faced in implementation from both technical and managerial perspectives, and proposes recommendations for the practical application of intelligent driving commercial vehicles in industrial parks. The findings provide valuable insights for researching the large-scale application of intelligent driving commercial vehicles in industrial parks and hold significant importance for promoting the intelligent transformation of traditional industrial logistics.

Key words: industrial park; intelligent driving commercial vehicles; indoor positioning; humanvehicle interaction