Prof. Jie Zhang, Central South University, China

张洁教授，中南大学

Professor Jie Zhang obtained a PhD in Traffic and Transportation Engineering from Central South University in 2015. After that, he spent the next three years at Chalmers University of Technology as a post-doc. In 2018, he took up a role as professor in School of Traffic and Transportation Engineering at CSU, where he has worked since. He is also appointed as the Head of Electric Locomotive Research Center at CSU, Section Editor of Transportation Safety and Environment, Member of Special Committee of Wind Energy Aerodynamics of Chinese Aerodynamics Research Society, Youth Academic Member of Freezing and Anti-icing Sub-committee of Chinese Society of Aeronautics and Astronautics, Chair of Section GD03-Rail Transportation Operation Safety and Environment of Rail Transit Division of The 3rd World Transport Convention (WTC) Academic Sub-Committee, and Session Chair for several conferences. 

As a principal investigator, he hosted 1 sub-project and 1 task of National Key R & D Program of China, 1 National Natural Science Foundation (General project) of China, 3 provincial projects and several enterprise projects. He has published 140 articles, and received a total citation of about 3000 times with an H-index of 30. 4 international patents and 12 Chinese patents have been granted as the first inventor. He has also received 10 awards for his research achievements. In 2023, he was awarded the Science and Technology Innovation Program of Hunan Province, Shenghua Scholar of Central South University. He is also recognized in the Top 2% Scientists Worldwide in 2023 and 2024 by Stanford University. 

His research focuses on train aerodynamics and traffic safety, aiming to improve train aerodynamic performance concerning drag, crosswind stability, wakes and other aerodynamic aspects. He devotes to exploring flow structures around trains in open air with and without crosswinds, as well as passing through confined spaces. He contributed to a number of significant studies, and his research achievements have been applied at railways in windy regions, CRH380BG high-speed trains, Fuxing high-speed trains, Winter Olympics Beijing-Zhangjiakou intelligent high-speed trains, CR450 high-speed trains, etc..

Prof. Wenquan Li, Southeast University, China

李文权教授，东南大学

Li Wenquan, Professor and Ph.D. Supervisor at Southeast University, was born in 1964. He received his bachelor's degree in Fundamental Mathematics from Henan University in 1987, after which he began his academic career at the same institution. He went on to earn a master’s degree in Operations Research from Zhengzhou University in 1994 and a Ph.D. in Traffic Management Engineering from Southwest Jiaotong University in 1997. Between 1997 and 1999, he completed postdoctoral research at Southeast University's Transportation Engineering postdoctoral research station. Since the completion of his postdoctoral work, he has been teaching at Southeast University's School of Transportation, focusing on transportation planning and management. Prof. Li is also a member of the Editorial Board of the Journal of Southeast University and has been selected for Jiangsu Province's "Six Talent Peaks" program. His research interests primarily include the optimization theories and methodologies for transportation organization, transportation planning and management, traffic flow theory and road capacity, and traffic safety.

Speech Title: Urban Transit of Online Booking Bus and Its Optimization Problems

Abstract: In recent years, the level of motorized travel in urban areas in China has steadily increased, exacerbating traffic congestion. The Central Committee of the Communist Party of China and the State Council have placed significant emphasis on urban transportation issues, with the National Comprehensive Three-Dimensional Transportation Network Planning Outline outlining a framework for establishing a multi-modal integrated urban transit system. The challenge of efficiently coordinating a multi-modal transit network and encouraging travelers to shift from single to combined travel modes has emerged as a key research focus. Developing urban on-demand public transportation systems is one effective approach to address multi-modal transit connectivity issues, providing practical value in enhancing public transit attractiveness and mitigating urban congestion. This report, titled “Urban Online Booking Bus Transit and Its Optimization Issues,” explores the characteristics of urban online booking bus transit systems, the design of this transit routes, stop selection strategies, scheduling, and fare-setting policies, offering personal insights and inviting further discussion to inspire broader insights and potential solutions.

Assoc. Prof. Fengming Du, Dalian Maritime University, China

杜凤鸣副教授，大连海事大学

Du Fengming, Ph.D., associate professor, doctoral supervisor, postdoctoral fellow of Marine and Marine Engineering Mobile Station, mainly engaged in transportation engineering, marine engines, and material design. He has won the titles of "Ten Million Talents Project" talents in Liaoning Province, "Dalian Youth Science and Technology Star", "Dalian High-level Talents - Young Talents", and one Liaoning Natural Science Academic Achievement Award. He has presided over one special sub-project of vehicle and ship power of the National Defense Bureau of Science and Industry, one key project of the Liaoning Provincial Natural Science Foundation, one joint project of the Liaoning Provincial Shipping Fund, one general project of the China Postdoctoral Fund, one project of the Dalian High-level Talent Innovation Support Program, two special funds for basic scientific research business expenses of the central university, and seven horizontal project. He has participated in more than 10 projects of the National Natural Science Foundation of China, the pre-research project of the Ministry of Equipment Development, the project of the National Defense Bureau of Science, Technology and Industry, the high-tech ship project of the Ministry of Industry and Information Technology and the horizontal project. More than 50 academic papers have been published, more than 40 have been retrieved by SCI, and 7 invention patents and 2 international invention patents. He is senior member of the Chinese Society of Mechanical Engineering, and the reviewer of Journal of Materials Processing Technology, The International Journal of Advanced Manufacturing Technology, Steel Research International, International Journal of Engine Research and other journals. He is served as a special editor for journals such as Lubricants and Coatings.

Prof. Haodong Yin, Beijing Jiaotong University, China

尹浩东副教授，北京交通大学

Yin Haodong, holds a PhD and serves as an Associate Professor at the School of Systems Science, Beijing Jiaotong University. He is a member member of Professor Wu Jianjun’s team. Additionally, he holds positions as a standing committee member of the Emergency Management Committee of the Chinese Society for Systems Engineering and as a member of the Digital Twin and Future Cities Committee of the Urban Science Society of China. He also serves on the editorial boards of "Urban Rapid Transit," "Railway Computer Applications," and "Journal of Safety and Environmental Engineering" . His research interests cover urban rail system simulation, passenger flow prediction, intelligent train rescheduling, transportation deployment, and future low-altitude traffic management. In recent years, he has led 17 projects, including 3 National Natural Science Foundation projects, a key project of the Beijing Natural Science Foundation Fengtai Joint Fund, and over 10 industry enterprise engineering projects, commissioned technology development, and achievement transformation projects. As a key member, he has participated in more than 10 national-level projects such as the National Key Research and Development Program and major topics of the National Natural Science Foundation. He has developed several application system software including urban rail passenger flow prediction analysis systems and network operation simulation systems, which have been applied in places like Beijing, Tianjin, Chongqing, Nanjing, Suzhou, and Shenyang. He has published more than 30 papers, with over 20 indexed by SCI; filed 26 patent applications, with 13 granted, and obtained 15 software copyrights. His achievements have been recognized with the 2024 CTS Best Paper Award, the Young Scholar Outstanding Paper Award at the Academic Annual Meeting of the Chinese Double Method Higher Education Society, the Second Prize for Scientific and Technological Progress from the Urban Rail Transit Association in 2018, the First Prize for Science and Technology from the China Highway Society in 2020, the First Prize for Scientific and Technological Progress from the Beijing Rail Transit Society in 2022, the Second Prize for Scientific and Technological Progress from the China Intelligent Transportation Association in 2023, and the First Prize for Scientific and Technological Progress from the China Intelligent Transportation Association in 2024.

Speech Title: Digitization and Intelligent Management of Future Low Altitude Traffic Airspace

Abstract: The low-altitude economy is a strategic emerging industry and also represents new quality productive forces. The development of low-altitude transportation cannot do without the digital modeling and intelligent management of airspace. This report focuses on the application scenarios of urban low-altitude passenger and cargo transportation, addressing challenges in management decision-making such as site selection planning for takeoff and landing areas, design of flight path networks, dynamic trajectory generation, and large-scale aircraft conflict detection with automatic avoidance measures. It also explores solutions and innovative achievements to address these challenges.

Assoc. Prof. Ng Choy Peng, Universiti Pertahanan Nasional Malaysia, Malaysia

Dr. Choy Peng Ng is an Associate Professor in the Department of Civil Engineering, Faculty of Engineering, Universiti Pertahanan Nasional Malaysia (UPNM). She's been teaching at UPNM since 2007. Prior to joining UPNM, she worked as a highway engineer for Sepakat Setia Perunding (Sdn) Bhd. Her current research interests include highway and traffic engineering, road safety engineering, railway engineering, and risk analysis. She has published 34 journal articles, 4 books, and 46 conference papers. She is also a visiting professor at the Xi'an Traffic Engineering Institute in Shaanxi, China.

Speech Title: Vehicle Alert Radar System (VARS) for Commercial Vehicle Collision Prevention

Abstract: Commercial vehicles face challenges in identifying potential hazards and avoiding crashes due to their larger, longer, and taller sizes, particularly in conditions of limited visibility, i.e., blind spots. Radar-based vehicle collision avoidance systems can detect the presence of obstructions in a vehicle's path and notify the driver, thereby assisting in collision prevention. However, the efficiency of vehicle collision prevention systems directly correlates with the number of installed radar sensors, leading to an unaffordable cost. This study presents the development of an affordable Vehicle Alert Radar System (VARS) using Android mobile devices. The system uses the mobile device's global positioning system (GPS) radar functionality for vehicle detection. To operate the GPS radar, VARS uses network-centric, mobile, locationing, and commercial off-the-shelf (COTS) technology. The detection range of other vehicles can be preconfigured within a range of 0 to 1000 meters, effectively eliminating any impediments. VARS provides comprehensive detection of surrounding vehicles, thereby encompassing all possible collisions. Commercial vehicles have the option to mount the Android mobile device on their dashboards. The mobile device will display the direction and distance of the three closest vehicles approaching the hose vehicle. VARS will promptly notify the driver by providing advance warnings, allowing sufficient time for the driver to respond and avoid a collision if the hose vehicle is less than 100 m away. It supports both offline maps and Google Maps. It is suitable for use in container terminals and factories.