Advanced Methods in Intelligent Transportation Systems, 2nd Edition
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 740
Special Issue Editor
Interests: mathematical modeling; optimization; optimal control; reinforcement learning; max-plus algebra
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
For many years, transportation systems have been in a continuous state of mutation thanks to the rapid development of information and communication technologies, sensors, digitization, data analysis approaches and tools, and data-driven models, as well as to the growth of vehicle automation with the new arrival of automated and autonomous vehicles. This new context requires updating the existing mathematical models for intelligent transportation systems (ITSs) and developing new ones, integrating all of the new features of the context, as well as the main perspectives for the future. We are interested, in this Special Issue, in advanced mathematical methods invoking mathematical models (traffic models, dynamic models for vehicles and passengers, traffic assignment models, etc.), as well as optimization approaches (optimal control, discrete optimization, reinforcement learning, data-driven optimization, etc.) for ITSs. One of the main objectives of the development of ITSs is to progress towards intelligent and sustainable mobility.
This Special Issue aims to collate original and high-quality research articles dealing with mathematics and summarizing the main directions in advanced mathematical methods for ITSs.
Dr. Nadir Farhi
Guest Editor
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Keywords
- mathematical models for ITSs
- traffic optimization and control
- multiobjective optimization for ITSs
- mathematical models for road traffic
- mathematical models for public transport
- reinforcement learning models and applications for ITSs
- optimal control for ITSs
- artificial Intelligence for ITSs
- machine learning for ITSs
- algebraic models for ITSs
- dynamic systems and models for ITSs
- cellular automaton models for ITSs
- multi-agent models for ITSs
- mean-field models for ITSs
- new approaches and models for ITSs
- stochastic modeling for ITSs
- data-based models for ITSs
- traffic control systems
- autonomous vehicles
- mathematical models and methods for micromobility
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Related Special Issue
- Advanced Methods in Intelligent Transportation Systems in Mathematics (15 articles)
