【摘要】 在当前新工科教育改革背景下，本文面向智慧交通转型所面临的技术更迭和实践就业等问题进行了深入探讨。研究采用了深度调研方法，涵盖了在校学生、毕业校友、专业任课教师和行业专家，进一步识别并分析了专业转型过程中的核心问题和挑战。通过综合评估分析，设计并实施了一个包含数理科学和交通工程的双基础，人工智能、信息数据、协同控制的三类核心技术领域，以及四个专门实验模块的“双基础三技术四实验”立体培养架构，旨在加强学生的理论知识和实践技能培养。为保证新课程的顺利开设和实施，本研究对培养方案进行了详细梳理，并从师资平台软硬件配置和社会接受度等方面进行了可行性分析。本研究目标在于为交通学科的持续创新，尤其是智慧交通专业的新工科转型提供有力的理论支持和实践参考。更多还原

【Abstract】 In the context of current educational reform in the field of emerging engineering education disciplines, this study delves deeply into the issues of technology replacement and practical employment faced during the transition of intelligent transportation disciplines. Adopting a thorough research methodology, this investigation encompasses current students, alumni, professional lecturers, and industry experts, further identifying and analyzing the key issues and challenges during the disciplinary transition process. By conducting a comprehensive evaluation and analysis, a three-dimensional educational framework dubbed. Dual Foundations, Three Technologies, Four Experiments, was designed and implemented. It includes dual foundations in mathematical sciences and traffic engineering, three key technology fields of artificial intelligence, information data, and cooperative control, as well as four specialized experimental modules, with the aim of bolstering students’ theoretical knowledge and practical skills. To ensure the smooth launch and implementation of the new curriculum, this research meticulously combs through the training program, conducting feasibility analysis from aspects such as faculty resources, hardware and software configurations, and social acceptance. The goal of this study is to provide potent theoretical support and practical references for the ongoing innovation in transportation disciplines, particularly the transformation of intelligent transportation disciplines into emerging engineering fields.更多还原