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