1. Team Overview
The Smart Civil Aviation Development Research Center is the primary research platform of the Department of Air Transport, School of Traffic and Transportation, Beijing Jiaotong University. Over the past few years, the center has completed and is currently leading more than 20 research projects, including National Key R&D Programs, National Natural Science Foundation of China projects, Civil Aviation Joint Fund projects, CAAC Safety Capability Building Projects, Beijing Municipal Key Social Science Projects, and projects from the Ministry of Emergency Management. The team’s overall research directions mainly focus on airport clusters and collaborative optimization, aviation emergency rescue, smart civil aviation engineering, sustainable development of civil aviation, and the low-altitude economy and intelligent transportation. The team currently consists of 10 faculty members, nearly 20 specially appointed experts from civil aviation enterprises and institutions, and over 30 graduate students (master’s and doctoral candidates) specializing in civil aviation.
Our research group recruits PhD and master’s students year-round and warmly welcomes motivated young talents from related disciplines such as air transport, transportation, control science and engineering, and other relevant fields to join us!
2. Introduction to Team Members
The Research Center includes 3 professors, 4 associate professors, 4 lecturers, nearly 20 specially appointed expert advisors from the Civil Aviation Administration of China and civil aviation enterprises, and more than 30 graduate students (master’s and doctoral candidates) in civil aviation-related fields.
Li Yanhua， Professor and Doctoral Supervisor, serving as Director of the Department of Air Transport. She also holds positions as a Specially Appointed Expert of the China Air Transport Association, Committee Member of the Emergency Rescue Branch of the Chinese Society of Aeronautics and Astronautics, and Standing Council Member of the Tianjin Society for Technical Economics and Management Modernization. Her main research areas include transportation planning and management, and theories and technologies of civil aviation transport.
She has served as principal investigator of three national-level projects. Four of her policy recommendations on civil aviation have received official instructions from provincial- or ministerial-level leaders. She has led the development of four series standards on aviation emergency rescue and participated in drafting four others. She has authored four monographs and co-authored two additional ones.
Representative Research Project Achievements:
[1] Co-Principal Investigator, National Natural Science Foundation of China – Civil Aviation Joint Fund Project: Research and Validation of Key Technologies for Integrated Air-Ground Support in Small and Medium Airport Clusters, 2024–2027
[2] Principal Investigator, National Key R&D Program: Research on Equipment Systems and Standardization Systems for Aviation Emergency Rescue, 2016–2020
[3] Principal Investigator, National Soft Science Research Project: Study on the Pathways for Rootedness and Cluster Upgrading of the Aviation Industry in the Binhai New Area
Bi Jun, Professor and Doctoral Supervisor. His main research areas include transportation planning and management, as well as theories and technologies in civil aviation. He has led and completed three national-level key R&D projects and is currently undertaking additional ones. He served as principal investigator of the project “Key Technologies and Platform Application for End-to-End Optimization of Smart Airport Logistics,” which was awarded the First Prize of Scientific and Technological Progress by the China Federation of Logistics & Purchasing. He is currently Deputy Director of the Department of Intelligent Transportation Systems and Safety, and also serves as Co-Director of the Digital Smart City Research Center jointly established by Beijing Jiaotong University and the University of Oslo. He has published 10 high-quality academic papers in the field of civil aviation and has been granted 5 patents and software copyrights related to smart airports.
Representative Research Projects:
[1] National Key R&D Program Sub-Project: Integrated Demonstration of Real-Time Monitoring and Intelligent Control Technologies for the Entire Process of Construction Waste Management, 2018–2022, Principal Investigator: Bi Jun
[2] National Natural Science Foundation of China (General Program): Modeling and Optimization of Travel and Charging Guidance for Electric Vehicle Users Considering Multi-Dimensional Preferences, 2022–2025, Principal Investigator: Bi Jun
[3] National High-Tech R&D Program of China (“863 Program”) Project: Research on Active Traffic Guidance Information Dissemination Technologies, 2011–2013, Principal Investigator: Bi Jun
Representative Achievements in the Past Five Years:
[1] Wang Fujun, Bi Jun, Xie Dongfan, et al. Quick taxi route assignment via real-time intersection state prediction with a spatial-temporal graph neural network[J]. Transportation Research Part C: Emerging Technologies, 2024, 158: 104414.
[2] Wang Fujun, Bi Jun, Xie Dongfan, et al. A data-driven prediction model for aircraft taxi time by considering time series about gate and real-time factors[J]. Transportmetrica A: Transport Science, 2023, 19(3): 2071353.
[3] Bi Jun, Wang Fujun, Ding Cong, et al. The airport gate assignment problem: a branch-and-price approach for improving utilization of jetway[J]. Computers and Industrial Engineering, 2022, 164: 107878.
[4] Wang Yongxing, Bi Jun, Guan Wei, et al. Optimal charging strategy for intercity travels of battery electric vehicles, Transportation Research Part D: Transport and Environment, 2021, 96: 102870.
[5] Wang Fujun, Bi Jun, Xie Dongfan, et al. Flight delay forecasting and analysis of direct and indirect factors[J]. IET Intelligent Transport Systems, 2022, 16(7): 890-907.
[6] Bi Jun, Wu Zhen, Wang Lei, et al. A tabu search-based algorithm for airport gate assignment: a case study in Kunming, China[J]. Journal of Advanced Transportation, 2020, 2020:1-13.
[7] First Prize, China Federation of Logistics & Purchasing: Key Technologies and Platform Application for End-to-End Optimization of Smart Airport Logistics, August 2024, Ranked 2nd out of 10.
Liu Zhishuo, Deputy Director of the Department of Air Transport and Deputy Director of the Institute of Systems Engineering and Control. His main research areas include collaborative operations in smart civil aviation, smart logistics and supply chain, and unmanned aerial vehicles (UAVs) and low-altitude transportation systems.
He has led and completed four National Science and Technology Support Program projects. He also led the project “Research on Optimal Aircraft Pushback Timing Algorithms and Their Application at Beijing Capital International Airport,” which was deployed and implemented on-site. He teaches undergraduate, master’s, and doctoral courses including Airport Planning and Design, Airport Planning and Operations, and Theories and Methods of Air Transport Planning and Management. He has published four monographs, including works on smart logistics, and has received two Science and Technology Awards from the China Highway Society. He has authored more than 40 academic papers, including over 10 high-quality publications in the field of civil aviation. His research on low-altitude transportation systems has been featured and interviewed by Economic Daily and China Central Television (CCTV).
Representative Research Projects (as Principal Investigator):
[1] National Key R&D Program: Research on Crowd Intelligence-Based Transaction Theories and Methods, 2018
[2] National Science and Technology Support Program: Research and Development on Key Technologies and Networks for Logistics Information Exchange, 2015
[3] National Science and Technology Support Program: Research and Development on Logistics Information Sharing and Service Situation Analysis Technologies, 2015
[4] National Science and Technology Support Program: Research, Development, and Demonstration Application of Precision Information Services for Full-Chain E-Commerce of Bulk Commodities, 2011
[5] National Science and Technology Support Program: Research on Enterprise Logistics Strategy Simulation Technologies, 2007
[6] National High-Tech R&D Program (“863” Program): Research on Modeling Methods for RFID Application Processes and Solutions, 2008
Representative Achievements in the Past Five Years:
[1] Liu Zhishuo, Zuo Xingquan. Inventory Routing Problem With Split Delivery and Variable Time Windows for Customers With Small Capacity and Large Sales[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(8): 10375-10388.
[2] Liu Zhishuo, Zuo Xingquan, Zhou Mengchu, et al. Electric vehicle routing problem with variable vehicle speed and soft time windows for perishable product delivery[J]. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(6): 6178-6190.
[3] Liu Zhishuo. Smart Logistics and Logistics Optimization [M]. Beijing: Publishing House of Electronics Industry, 2023.
[4] Zuo Xingquan, Li Bin, Huang Xuewen; Zhou Mengchu, Cheng Chunyang, Zhao Xinchao, Liu Zhishuo. Optimizing hospital emergency department layout via multiobjective tabu search[J]. IEEE Transactions on Automation Science and Engineering, 2019, 16(3): 1137-1147.
[5] Liu Zhishuo, Li Yuqing, Xu Junzhe, et al. Multi-Compartment Electric Vehicle Routing Problem for Perishable Products[J]. International Journal of Crowd Science, 2024, 8(1): 38-48.
[6] Liu Zhishuo, Lin Simeng, Li Han. Production Scheduling of Regional Industrial Clusters Based on Customization Oriented Smart Garment Ecosystem[J]. International Journal of Crowd Science, 2023, 7(1): 1-9.
[7] Liu Zhishuo, Cheng Yinan, Tian Fang. Commodity Search Based on the Hybrid Breadth-Depth Algorithm in the Crowd Intelligence Based Transaction Network[J]. International Journal of Crowd Science, 2022, 6(4): 167-177.
[8] Liu Zhishuo, Hao Mengjun, Tian Fang. Ratemaking model of usage based insurance based on driving behaviors classification[J]. International Journal of Crowd Science, 2022, 6(2): 98-109.
Ren Guangjian, Ph.D., Master’s Supervisor. His main research directions include air traffic flow management, low-altitude route and airspace planning, analysis of en-route and airport networks, airspace capacity assessment, and green aviation technologies. He has served as principal investigator on one project and participated in eight others, and has published more than 10 papers in the field of civil aviation.
Xu Guoqiang, Ph.D., Master’s Supervisor. His main research directions include civil aviation transportation planning and management, modeling and control of flight delay propagation, robustness of complex networks, and urban air traffic management. He is the principal investigator of a National Natural Science Foundation Youth Project and teaches undergraduate, master’s, and doctoral courses such as Collaborative Management of Airport Clusters and Airport Planning and Operations. He has led or participated in eight representative research projects and published eight papers in the field of civil aviation.
Liu Zhaoxuan, Ph.D., Master’s Supervisor. His main research directions include airborne conflict detection and resolution, low-altitude operations, and unmanned aerial vehicle (UAV) management and control. He is the principal investigator of a National Natural Science Foundation Youth Fund project, has participated in multiple research projects, and has published more than 10 high-quality academic papers in the field of civil aviation.
Fu Rao, Ph.D., Associate Professor (on tenure-track). His main research directions include urban air traffic management and low-altitude UAV traffic control. He has participated in four research projects and published more than 10 high-level academic papers in prestigious transportation journals such as IEEE Transactions on Intelligent Transportation Systems (T-ITS), Transportation Research Part C (TRC), and IEEE Transactions on Intelligent Vehicles (T-IV). He holds two authorized patents. As a core member, he contributed to the design of the open-source aerial traffic simulation platform RflysimUT, and has received awards in competitions including the 2nd “Blossom Cup” 5G Application Collection Competition, Meituan’s 1st Intelligent Traffic Management Innovation Contest, and the 2nd China Intelligent Transportation Innovation Challenge.
3. Research Achievements
The research group’s work on the low-altitude economy was featured in an interview by Economic Half Hour, a program broadcast on CCTV-2 (China Central Television Channel 2).
The group’s research outcomes in low-altitude transportation systems have also been interviewed and reported by China Central Television (CCTV).
Students from the research group have achieved outstanding results in various scientific and technological competitions.
The research group is steadily growing into a young, dynamic team at Beijing Jiaotong University that actively contributes to the national “Transportation Power” strategy. We warmly welcome outstanding students to join us!
4. Team Contact Information
Contact Person: Li Yanhua
Email: yh.li@bjtu.edu.cn
