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