Computational Intelligence for Intelligent Transportation Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 15 November 2026 | Viewed by 93
Special Issue Editor
Special Issue Information
Dear Colleagues,
The development of Intelligent Transportation Systems (ITS) represents a pivotal direction for future urban and inter-urban mobility. This Special Issue will focus on the synergistic integration of Computational Intelligence (CI) and advanced materials science to forge the next generation of ITS. We seek to explore how deep learning, evolutionary algorithms, fuzzy systems, and other CI paradigms can process complex traffic data, enable real-time decision-making, and optimize large-scale network operations. Crucially, we aim to highlight the indispensable role of materials innovation in this ecosystem. Contributions that investigate novel sensor materials for enhanced perception, smart infrastructure materials for self-monitoring and durability, and energy-related materials for efficient electric vehicle integration are encouraged. The Issue will cover topics such as CI-driven traffic prediction and control, connected vehicle networks, and the co-design of material properties with algorithmic efficiency. By bridging the computational and physical layers, this collection aims to provide a holistic forum for research that addresses both the “brains” (algorithms) and the “senses and bones” (material-enabled hardware) of truly intelligent, resilient, and sustainable transportation systems.
Prof. Dr. Jianbo Li
Guest Editor
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Keywords
- computational intelligence
- deep learning for transportation
- smart materials and sensors
- intelligent infrastructure
- sustainable urban mobility
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