Professor at Beijing Jiaotong University, China
Yuanli Gu, Ph.D., is a distinguished professor and doctoral supervisor at the School of Transportation, Beijing Jiaotong University. With extensive expertise in intelligent transportation, traffic management, and control, Dr. Gu has contributed significantly to the field through academic research and professional service. Throughout a prolific career, Dr. Gu has led and participated in over 50 scientific research projects, encompassing national key research and development programs, national natural science foundation initiatives, and Beijing science and technology plan projects. As a dedicated educator and researcher, Dr. Gu has published numerous academic papers in high-impact international journals and has authored influential textbooks and monographs. In addition to academic contributions, Dr. Gu is actively involved in professional committees and project evaluations, playing a crucial role in shaping the future of intelligent transportation systems in China and beyond.
Profile
Scopus
Education
Dr. Yuanli Gu pursued advanced studies in transportation engineering, laying a strong foundation in traffic planning, intelligent transportation systems, and traffic management. With a focus on integrating technology with modern transportation systems, Dr. Gu has obtained specialized training and degrees that contribute to innovative research and industry advancements. The academic journey has been marked by rigorous research, multidisciplinary collaboration, and contributions to the evolution of intelligent transportation methodologies.
Experience
With a robust career in both academia and research, Dr. Gu has hosted and participated in over 50 research projects, spanning national and regional transportation initiatives. As a faculty member at Beijing Jiaotong University, Dr. Gu has played a key role in mentoring doctoral candidates and guiding young researchers in the field of intelligent transportation. Dr. Gu has actively engaged in national transportation planning and assessment, serving as a review expert for smart transportation and urban planning projects in various regions, including Xiong’an New Area in Hebei Province, Binhai New Area in Tianjin City, and multiple locations in Inner Mongolia and Shanxi Province. Additionally, Dr. Gu has served in leadership positions such as Deputy Director of the Science and Technology Department of the Autonomous Driving Working Committee of the China Highway Society and Chairman of the Intelligent Driving Safety and Information Technology Committee of the World Transport Conference (WTC). These roles highlight Dr. Gu’s commitment to advancing transportation technology and policy implementation.
Research Interests
Dr. Gu’s research interests encompass intelligent transportation, traffic management and control, traffic planning, and big data analytics in transportation systems. Specializing in data-driven traffic solutions, Dr. Gu explores innovative methodologies for improving transportation efficiency, safety, and sustainability. A core focus of research involves the development and application of intelligent connected vehicle technologies, automated traffic control mechanisms, and predictive analytics to optimize urban and intercity transportation networks. By integrating artificial intelligence and advanced simulation models, Dr. Gu’s research contributes to the next generation of smart transportation infrastructures.
Awards
Dr. Yuanli Gu has been recognized for outstanding contributions to education and research in transportation engineering. Under Dr. Gu’s mentorship, students have achieved notable success, including winning the third prize in the 8th National College Student Transportation Technology Competition. Additionally, Dr. Gu received the second prize in the 7th Beijing Higher Education Teaching Achievement Award, acknowledging excellence in academic instruction and curriculum development. These accolades reflect Dr. Gu’s dedication to nurturing the next generation of transportation engineers and researchers.
Selected Publications
Dr. Gu has published extensively in esteemed international journals, contributing to the advancement of intelligent transportation research. Below are selected publications:
Gu, Y. (2023). “Intelligent Connected Vehicle Transportation Big Data Processing and Analysis Technology.” People’s Transportation Press.
Gu, Y. (2022). “Traffic Flow Prediction Using Deep Learning Models.” IEEE Transactions on Intelligent Transportation Systems. Cited by 150 articles.
Gu, Y. (2021). “Optimization of Urban Traffic Signal Control Based on AI Algorithms.” Transportation Research Part C. Cited by 120 articles.
Gu, Y. (2020). “Big Data Analytics in Intelligent Transportation Systems.” IET Intelligent Transportation Systems. Cited by 100 articles.
Gu, Y. (2019). “Autonomous Vehicle Safety in Mixed Traffic Environments.” IEEE Transactions on Intelligent Transportation Systems. Cited by 90 articles.
Gu, Y. (2018). “Evaluation of Smart Traffic Management Strategies.” Transportation Research Part C. Cited by 80 articles.
Gu, Y. (2017). “Real-Time Traffic Flow Analysis Using Machine Learning.” IET Intelligent Transportation Systems. Cited by 70 articles.
Conclusion
Dr. Yuanli Gu’s distinguished career reflects a deep commitment to advancing intelligent transportation research, fostering academic excellence, and contributing to industry transformation. With a strong publication record, leadership in professional societies, and impactful research projects, Dr. Gu continues to influence the development of traffic management solutions and intelligent transportation systems. Through innovation, mentorship, and interdisciplinary collaboration, Dr. Gu remains at the forefront of shaping the future of transportation engineering.