[Event at CIG] Call for papers: Special Issues: Advanced Computational Modeling for Future Mobility: Integrating Autonomous Systems, Traffic Optimization, and Human-Centric Virtual Environments

[Yazan MUALLA]

Advanced Computational Modeling for Future Mobility: Integrating Autonomous Systems, Traffic Optimization, and Human-Centric Virtual Environments
Submission Deadline: 31 October 2026 View: 416Submit to Special Issue<https://ijs.tspsubmission.com/homepage?returnUrl=/submission/28&siid=8449>
Guest Editor(s)
Assoc. Prof. Mahjoub Dridi
Prof. Dr. Stéphane Galland
Assoc. Prof. Yazan Mualla

 Summary
The rapid evolution of smart cities and transportation technologies necessitates a shift toward more sophisticated, multi-scale modeling approaches. This Special Issue aims to provide a platform for cutting-edge research addressing the challenges of modern road transport through computational modeling, artificial intelligence, and immersive technologies.

We seek original contributions that bridge the gap between theoretical algorithms and real-world applications. The scope encompasses the ecosystem of smart mobility: from micro-level optimization of autonomous vehicle trajectories to macro-level management of urban intersections. A particular emphasis is placed on the safety of Vulnerable Road Users (VRUs) and the use of Digital Twins and Virtual Worlds to simulate complex traffic interactions in risk-free environments and the development of Human-Centric AI to ensure transparency, ethics, and trust in automated systems.

Consistent with the mission of CMES, we encourage papers that introduce novel AI-based methods, high-performance computing, and data-driven surrogate modeling to solve frontier problems in transportation science.

Key Topics of Interest
To ensure a broad and inclusive scientific reach, we invite submissions on the following areas:
Traffic Optimization & Infrastructure Management:
· Autonomous and intelligent intersection management and traffic signal optimization.
· Combinatorial optimization and meta-heuristics for urban traffic rationalization.
· Multi-agent systems and cloud services for smart city navigation.
Autonomous Vehicles & Artificial Intelligence:
· AI-driven innovations in autonomous driving and reinforcement learning.
· Computer vision for road perception and smart transportation monitoring.
· Connected vehicles (V2X) and cooperative driving strategies.
Safety & Vulnerable Road Users (VRU):
· Vision-based driver monitoring and behavior analysis.
· Safety applications and impact studies for pedestrians and cyclists.
· Human factors and decision-making in automated driving environments.
Human-Centric & Trustworthy AI in Mobility:
· Explainable AI (XAI): Interpretability of deep learning models in safety-critical transportation decisions.
· Ethical AI & Fairness: Addressing algorithmic bias in traffic management and resource allocation.
· Human-AI Collaboration: Shared control frameworks and trust-building interfaces between drivers and automated systems.
· Privacy-Preserving AI: Techniques (e.g., Federated Learning) for processing sensitive trajectory and sensor data in smart cities.
Digital Twins & Virtual Environments:
· Digital Twins (DT) as virtual replicas for real-time traffic monitoring.
· Virtual Reality (VR) and Extended Reality (XR) for driver training and simulation.
· The role of the Metaverse and Virtual Worlds in representing traffic behavior.
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Keywords
computational modeling autonomous vehicles, traffic optimization, vulnerable road users, digital twins, smart mobility, human-centric artificial intelligence, virtual environments, reinforcement learning, connected vehicles (V2X), explainable AI


CMES | Special Issues: Advanced Computational Modeling for Future Mobility: Integrating Autonomous Systems, Traffic Optimization, and Human-Centric Virtual Environments<https://www.techscience.com/CMES/special_detail/future_mobility>

Link:
https://www.techscience.com/CMES/special_detail/future_mobility