AltaRica Multi-objective optimization COMPORTEMENT Deep learning Scenario Mobilité Cybersecurity Complex system Multi-agent simulation CLUSTERING Topology optimization Scalability Ride-sharing Mobility Neural network MBSE Optimization MBSA Gaussian processes Maintenance Safety Time series Isabelle/HOL Adversarial attacks Mobilité urbaine Shared Autonomous Vehicle Apprentissage automatique PERTURBATION Anomaly detection Agent-based Sequential Monte Carlo Evaluation Clustering TRANSPORT EN COMMUN Machine Learning Concurrency ADAS C-ITS Security Visual analytics Urban mobility Robustness On-demand mobility Mining pools Explainability Cyber-physical systems Automotive Optimisation Modeling Artificial intelligence Interoperability Bayesian optimization Routing Expected improvement AltaRica 30 Uncertainty Scénarios Cyber-Physical Systems Electric vehicles AD/ADAS Bitcoin Transportation Deep Reinforcement Learning Adversarial attack Population Subset simulation Simulation Additive manufacturing Privacy IoT Intrusion detection Validation Reliability MATSim Machine learning Autonomous vehicles Autonomous vehicle Sustainability Sûreté de fonctionnement Robustesse Model-Based Safety Assessment Eco-innovation Complexity Game theory 5G Transport Predictive maintenance Digital twin Adversarial examples Bitcoin mining Kriging Blockchain Deep Learning Ontology Standards Digital Twin Pool hopping Misbehavior Detection Trust SysML