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Special Sessions丨特别专题
The low-altitude economy brings new development prospects to urban transportation systems. However, traditional traffic safety management frameworks are no longer adequate for the operational and regulatory demands of low-altitude transportation. Achieving harmonious integration between low-altitude public transportation infrastructure, urban planning, and ground transportation facilities, as well as designing a forward-looking, scientific, and efficient urban air-ground collaborative transportation network, is a critical enabler for the sustainable and scientific development of the low-altitude economy.
To ensure the safety of low-altitude transportation, in addition to improving contingency plan and legal design, it is essential to implement advanced technological support—such as the Internet of Things (IoT), artificial intelligence (AI), and deep learning algorithms—for the identification, monitoring, early warning, and emergency management of low-altitude traffic accidents. Given the coexistence of heterogeneous entities with varying levels of intelligence, effective management and control of large-scale entities within a region during emergencies are crucial to low-altitude traffic safety. Moreover, leveraging the efficiency and accessibility of low-altitude transportation to further enhance urban emergency rescue operations will contribute to the continuous improvement of urban emergency management systems.
Related Topics for this Session （but not limited to）:
* Urban Low-Altitude Traffic Infrastructure Planning
* Digital-Empowered Prediction and Decision Support for Low-Altitude Traffic Accidents
* Causation Identification and Risk Control in Low-Altitude Traffic Accidents
* Intelligent Management Technology for Large-Scale Heterogeneous UAVs in Low-Altitude Airspace During Emergencies
* Legal and Institutional Design for Urban Low-Altitude Traffic Management
* Low-altitude emergency rescue technology and application
* Human Factors and Transportation Safety in Low-Altitude Transportation
Liu Dan is a full professor, vice dean of School of Safety Science and Emergency Management, Wuhan University of Technology, China. He graduated from Huazhong University of Science and Technology with a Ph.D degree in control science and engineering. He is a member of the Society of Public Safety Science and Technology, and member of Society of China Systems Engineering, also is the editor of Journal of Wuhan University of Technology, and the youth editorial board of Journal of Safety and Enironmental Engineering. Ha has published over 50 academic papers in journals such as Environmental Modeling & Software, Journal of Energy Storage, and Water Resources Management. His research interests cover public safety and emergency management, risk analysis and early warning, system modeling and safety simulation.
Lv Wei is a full professor, vice dean of School of Safety Science and Emergency Management, Wuhan University of Technology, China. He graduated from the University of Science and Technology of China with a Ph.D degree in safety science and engineering. He is a member of the Society of Public Safety Science and Technology and served more than 30 internal journals as a reviewer including Transportation Research Part B/C and Travel Behavior and Society. His research interests cover urban emergency transportation, emergency logistics, emergency evacuation and emergency shelter.
Ma Jian is a full professor, director of the Key Laboratory of Traffic Safety Technology and vice dean of the Institute of Smart City and Intelligent Transportation, Southwest Jiaotong University, China. He graduated from the University of Science and Technology of China with a bachelor's degree in safety engineering and a double bachelor's degree in computer science. Professor Ma received his Ph.D degree jointed awarded by the University of Science and Technology of China and City University of Hong Kong. He is a member of the Society of Public Safety Science and Technology, and a representative member of the National Public Safety Basic Standardization Technical Committee (SAC/TC 351). He is an Advisory and Editorial Board Member of international journals including Physica A, Scientific Reports and Collective Dynamics. He also served more than 20 internal journals as a reviewer including PNAS Nexus, Transportation Research Part B. His research interests cover pedestrian and evacuation dynamics, risk analysis and intelligent traffic system.
Xu Gangyan is an assistant professor at Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University (PolyU). He received his PhD degree from The University of Hong Kong, and master’s and bachelor’s degrees both from Huazhong University of Science and Technology. Before joining PolyU, Dr Xu served as an assistant professor at Harbin Institute of Technology, Shenzhen, a research fellow at Nanyang Technological University, and a research assistant at City University of Hong Kong. Dr Xu’s research interests include reinforcement learning for combinatorial optimization, multi-UAV and robotic systems, emergency decision-making, and aviation safety and reliability. In recent years, he has published around 60 research papers and secured over HK$ 10 million research and industrial grants. Dr. Xu is an editorial board member of Advanced Engineering Informatics and a special corresponding expert of Frontiers of Engineering Management.
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