Summary of the Workshop on "Mathematical Theory and Methods in Intelligent Transportation"
The Workshop on "Mathematical Theory and Methods in Intelligent Transportation" was successfully held from January 11 to 17, 2026. This seven-day event was convened by Professors Deren Han (Beihang University), Caihua Chen (Nanjing University), and Yaohua Hu (Shenzhen University). It brought together 31 participants from leading universities across Hong Kong and mainland China, all renowned scholars in transportation and optimization research, fostering a vibrant and collaborative atmosphere dedicated to advancing the frontiers of mathematical theory and methods in intelligent transportation systems.
A defining feature of the workshop was the deep interdisciplinary synergy between transportation science, optimization theory, and artificial intelligence. The discussions highlighted a dynamic interplay: pressing challenges from real-world transportation systems, such as model building for optimization problems and algorithm design under AI-driven large-scale scenarios with communication security constraints, inspired new mathematical questions. Concurrently, significant advancements in mathematical tools and optimization techniques were presented, providing essential resources for addressing these challenges. This bidirectional exchange underscored the profound integration of theory and application at the core of intelligent transportation research.
The scientific program comprised 16 high-caliber academic reports and 8 intense thematic discussions, systematically covering the core academic frontiers of this interdisciplinary domain. These activities addressed a wide range of topics, including the mathematical modeling and theoretical analysis of optimization problems in transportation systems; algorithm design for large-scale transportation networks with consideration of AI integration and communication security; innovative optimization methods for dynamic traffic management and resource allocation; and the application of advanced mathematical tools in solving complex transportation challenges. Many presentations took the form of insightful surveys, fostering deep understanding and stimulating enthusiastic discussions among participants.
The workshop successfully created an open platform for researchers at all levels to exchange the latest achievements and address pressing challenges in intelligent transportation. It significantly promoted scholarly communication and collaboration across transportation science, optimization theory, and artificial intelligence, thereby actively contributing to the field’s academic progress. Furthermore, the event provided valuable opportunities for the professional growth of young scholars, who were able to engage closely with leading experts in the stimulating environment of the workshop.
Participants expressed their sincere appreciation for the exceptional organization and support provided by the hosting institutions. The interdisciplinary insights and collaborations fostered throughout the workshop are expected to have a lasting impact on the development of mathematical theory and methods in intelligent transportation. We extend our heartfelt gratitude to all organizers, participants, and staff members who contributed to the success of this event.