Special Session 1: Artificial Intelligence and Transportation System Optimization
This session focuses on the deep integration of artificial intelligence, operations research, and transportation systems, and discusses key challenges in modeling, decision-making, and scheduling under complex traffic scenarios. It highlights theoretical methods such as machine learning, stochastic optimization, and robust optimization, and explores theoretical innovation and engineering practice for urban traffic management and control, smart logistics operations, and intelligent transportation governance in smart cities. The session brings together scholars from around the world in related fields to exchange cutting-edge developments, explore innovative pathways for AI-enabled efficient operation and resilient control of transportation systems, and build a platform for academic exchange and research translation. We warmly welcome outstanding research achievements in related fields to submit papers.
Call for Papers Topics:
Stochastic optimization and robust optimization theories and algorithms for transportation systems
Machine-learning-based traffic flow prediction and coordinated signal optimization
Route planning, resource scheduling, and operational optimization in smart logistics networks
Modeling, equilibrium analysis, and resource allocation in multimodal urban transportation systems
Intelligent sensing and dynamic decision-making methods driven by transportation big data
Simulation, scenario analysis, and intelligent regulation technologies for digital twin transportation systems
Resilience enhancement and operational management of transportation systems under uncertainty
Chair:
Prof. Ning Zhu
University of Science and Technology of China
Biography: Ning Zhu, male, received his Ph.D. in Management Science and Engineering from Tianjin University in 2012. He is currently a professor at the University of Science and Technology of China and a recipient of the National Science Fund for Excellent Young Scholars. His main research interests include smart city management, modeling and optimization of transportation and logistics systems, information systems, operations research and optimization techniques (integer optimization, stochastic optimization, and robust optimization), and machine learning. He has published more than 50 academic papers in journals including M&SOM, INFORMS Journal on Computing, Transportation Science, Transportation Research Part A/B/C/E, EJOR (4 papers), Journal of Management Sciences in China, and Systems Engineering — Theory & Practice. He has led five projects funded by the National Natural Science Foundation of China, two projects funded by the Ministry of Education, and several industry collaboration projects. He also serves as a reviewer for many well-known domestic and international journals, such as M&SOM, IJOC, Transportation Research Part B, and EJOR.
Invited Speech
Prof. Jingxian Chen
Hefei University of Technology
Biography: He is a young scholar in the National Major Talent Program. He has long been engaged in scientific research in the fields of game decision-making and supply chain management, with a focus on new practical issues in supply chain management and logistics systems, as well as research developments in fundamental theories such as game theory and artificial intelligence. He has published more than 60 academic papers. He has led several research projects, including those funded by the National Natural Science Foundation of China and the National Social Science Fund of China. His related research achievements have received the Anhui Provincial Science and Technology Progress Award and the Jiangsu Provincial Outstanding Achievement Award in Philosophy and Social Sciences.
Prof. Peng Wu
Fuzhou University
Biography: Peng Wu is a professor (promoted through exceptional consideration) and doctoral supervisor. He is a national-level young talent, a selected young top talent under Fujian Province’s “Eagle Cub Program,” and a provincial candidate for the “Hundred-Thousand-Ten-Thousand Talents Project.” He currently serves as Professor, Doctoral Supervisor, and Associate Dean at the School of Economics and Management, Fuzhou University. He is an evaluation expert for the Ministry of Education’s “Changjiang Scholars” Award Program, a consulting expert for key discipline construction under the Ministry of Education’s “Double First-Class” initiative, a review expert for the National Natural Science Foundation of China’s general, youth, regional, and key programs, a review expert for the National Social Science Fund of China, and a review expert for master’s and doctoral dissertations under the Ministry of Education. He also serves as an executive council member of the Sustainable Operations and Management Systems Branch of the Systems Engineering Society of China, and an executive council member of the Data Science and Intelligent Operations Research Branch (in preparation) of the Operations Research Society of China.
His main research focuses on optimization of transportation and logistics systems.