The School brings together university-wide resources and integrates transportation with emerging technologies such as Artificial Intelligence (AI), Big Data, Communication Engineering, the Internet of Things (IoT), and Robotics. By promoting disruptive innovation in future transportation, it aims to drive leapfrog development in the transportation discipline.
Its major research directions include: Digital Highways, Intelligent Driving, Smart Vehicles, Transportation Robotics, Smart Mobility, and Intelligent Logistics. Student enrollment is organized into two categories: the Engineering Experimental Class (Huawei Class) and the Engineering Experimental Class (Future Transportation). The academic framework consists of four modules: Intelligent Transportation Infrastructure, Smart Transportation Systems, Advanced Transportation Equipment, and Modern Logistics Engineering. These are closely aligned with the University’s strong disciplines, including Road, Bridge and River-Crossing Engineering, Vehicle Engineering, Transportation Engineering/Transportation, and Logistics Engineering, while supported by complementary fields such as Artificial Intelligence, Big Data Management and Applications, Automation, Computer Science and Technology, Communication Engineering, and Logistics Management.
The School adheres to a student-centered philosophy and a model of personalized elite education. Guided by competence development, supported by high-level faculty, and backed by high-quality resources, it is building an integrated, elite, future-oriented, and international training model. Its mission is to cultivate future leaders in transportation with forward-looking vision, interdisciplinary thinking, and disruptive innovation capabilities.