Introduction：
The Department of Traffic Information Engineering and Control traces its origins to the Automobile Transportation Program, established in 1956. It was renamed the Department of Transportation in May 1985 and adopted its current name in 2001. The discipline was designated a Key Discipline of Jilin Province in 2002 and a National Key Discipline under cultivation in 2007. It was authorized to offer master’s and doctoral degree programs in Traffic Information Engineering and Control in 1998 and 2000, respectively. In 2021, the undergraduate program in Traffic Engineering was selected as a National First-Class Undergraduate Program. The Department has jointly established four laboratories: the Intelligent Transportation Systems and Satellite Positioning Laboratory, the Road Traffic Safety Laboratory, the Vehicle–Infrastructure Cooperation Laboratory, and the Intelligent Traffic Signal Control and Simulation Laboratory.
Faculty Profile：
The Department of Traffic Information Engineering and Control currently has 23 full-time faculty members, including 10 professors, 12 associate professors, and one lecturer. The faculty team is well balanced across career stages, with early- and mid-career scholars forming the majority. All full-time faculty members hold doctoral degrees, primarily from leading universities in China and abroad, including Jilin University, Tongji University, the University of Utah, and Hefei University of Technology. Their expertise spans a broad range of disciplines, including traffic engineering, physics, computer science, road and bridge engineering, and management science. Together, they form a high-caliber faculty team that brings together internationally recognized academic leaders and a strong cohort of dynamic scholars.
Course offerings:
Core Courses: Traffic Engineering, Traffic Analysis, Intelligent Algorithms, Traffic Management and Control, Traffic Design, Road Traffic Safety, Transportation Planning, Intelligent Transportation Systems, Analysis and Design of Transportation Software Systems, Intelligent Transportation Sensing Networks, Traffic Big Data Processing and Analysis, and other related courses.
Key Practical Training Components: Professional Orientation and Industrial Internship, Course Project in Traffic Analysis, Course Project in Transportation Planning, Integrated Training in Traffic Control and Simulation, Course Project in Traffic Design, Practical Training in Transportation Software Systems, Practical Training in Road Channelization Design, Integrated Practice in Intelligent Algorithms, Integrated Practice in Intelligent Transportation Systems, Integrated Practice in Road Traffic Safety, Integrated Practice in Road Engineering, and the Graduation Project (Thesis).
Specialized Elective Courses: Integrated Multimodal Transportation Simulation, Foundation Models and Applications in Transportation, Modern Traffic Survey Techniques, Geographic Information Systems for Transportation, Travel Behavior Modeling, Introduction to Low-Altitude Technology and Engineering, Resilient Cities and Urban Governance, and other related courses.
Educational Objectives
The program regards the cultivation of outstanding and innovative talent as a fundamental mission and responsibility. It is committed to preparing well-rounded graduates who demonstrate a strong sense of national and social responsibility, critical thinking, an innovative spirit, creativity, and a global perspective; possess effective communication and teamwork skills; and achieve balanced development in moral, intellectual, physical, aesthetic, and practical dimensions. The program aims to educate qualified professionals who are prepared to contribute to the development of society.
Within approximately five years of graduation, graduates of the program are expected to have developed a solid foundation in transportation theory and practice, strong capabilities in information processing and the application of artificial intelligence technologies, and a high level of digital and AI literacy. They should be able to apply artificial intelligence technologies to analyze problems and develop innovative solutions. Graduates are expected to pursue careers in areas such as transportation system planning, intelligent transportation system design, autonomous driving algorithm development, and transportation operations and management, or undertake related work in education and research. They should be capable of addressing complex traffic engineering problems and developing into high-caliber professionals in the transportation field.
Professional Features:
Rooted in the field of transportation and aligned with industry trends and major national priorities, the program is supported by the discipline of Transportation Engineering. It emphasizes the fundamental theories and engineering competencies required for the analysis, planning, design, construction, operation, and management of transportation systems. Guided by the educational philosophy of providing a strong foundation, broad-based knowledge, innovation-oriented training, and high-quality education, the program prepares students to develop strong systems thinking, an innovative mindset, scientific literacy, and solid capabilities in engineering technology and management.
Research Areas
The Department’s primary research areas include:
1. Intelligent Traffic Sensing and Control. This research area uses multi-source traffic data to investigate the time-varying characteristics of traffic flow under emerging transportation scenarios. It focuses on theories and methods for optimizing traffic organization at intersections and enabling intelligent, coordinated traffic signal control. It also develops technologies for multi-source traffic data fusion and sensing, road traffic risk identification and proactive prevention and control, and the optimization and operational control of urban public transportation systems.
2. Space–Air–Ground Cooperative Sensing and Spatiotemporal Intelligence for Transportation. This research area deploys multimodal sensors on space-, air-, and ground-based platforms and infrastructure and applies transportation spatiotemporal big data, artificial intelligence theories and methods, and other advanced technologies. Its research covers multidimensional sensing and safety assurance for aerial and ground transportation targets, as well as intelligent monitoring and health assessment of transportation infrastructure. It aims to establish an integrated technical framework encompassing sensing, modeling, decision-making, and application to support transportation applications at different levels, from microscopic to macroscopic. These applications include traffic behavior analysis, safety and risk prevention, spatiotemporal reconstruction, smart mobility, cooperative decision-making and control, and the digital and intelligent transformation of transportation systems.
3. Road Traffic Safety and Management. This research area integrates theories and methods from safety engineering, human factors engineering, risk management, information technology, and the Internet of Things. It focuses on key technologies related to intelligent road traffic safety management systems, traffic safety big data analytics, traffic safety early-warning systems, integrated transportation emergency management, traffic crash causation and simulation, and the analysis and improvement of driving behavior and safety.
Faculty and Staff：
Professors ：Zhaowei Qu, Qingfang Yang , Yiming Bie, Baofeng Sun, Jianfeng Xi,
Xianmin Song, Zhihui Li, Lili Zheng, Ciyun Lin, Bowen Gong
Associate Professors: Tongqiang Ding, Yongheng Chen, Wei Wang,
Pengfei Tao, Baogui Cao, Huxing Zhou, Haitao Li, Qian Cao, Jue Zhou,
Qinzheng Wang, Qishen Zhou, Qi Liu
Lecturer：Dian Jing
Laboratory Staff：Wei Wei, Shirui Zhou
