Applied Mathematics and Optimization Methods in Transport Planning and Management
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".
Deadline for manuscript submissions: 30 April 2026
Special Issue Editors
2. Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China
Interests: transportation resilience; transportation reliability; transportation robustness; transportation management and optimization
Interests: evolutionary computation; mathematical modeling; combinatorial optimization; intelligence traffic system
Special Issue Information
Dear Colleagues,
With the integration of multi-modal transportation and the expansion of transport networks, modern transport systems are becoming increasingly complex, facing growing challenges in managing rising travel demand, alleviating congestion, optimizing operations, and responding to various disruptions. The complexity of modern transport systems necessitates the use of mathematical theories and optimization methods to support strategic planning, enhance operational efficiency, and improve decision-making processes. Mathematical methods provide powerful tools for modeling traffic dynamics, optimizing network performance, predicting mobility patterns, and assessing risks, enabling transport systems to function more effectively under dynamic and uncertain conditions.
This Special Issue aims to showcase cutting-edge research that applies mathematical theories and optimization techniques to transport planning and management. We invite original research articles, systematic reviews, and case studies covering different modes of transportation and various research scales. Topics of interest include, but are not limited to, the following: network design optimization, schedule optimization, ride-sharing and carpooling optimization, delivery optimization, and disaster response optimization.
Dr. Jie Liu
Dr. Yue Xie
Dr. Xin Wu
Guest Editors
Manuscript Submission Information
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Keywords
- transportation planning
- transportation management
- transportation optimization
- algorithm design
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