RINA - Démonstrateur d’utilisation de l’intelligence artificielle pour la gestion opérationnelle des risques naturels gravitaires géologiques | FEREC 2020

Summary Acknowledgments 1 Abstract 2 1. Introduction 4 1.1. Rock falls 5 1.2. Data analysis 7 1.3. Aim of the work 7 2. Study case 8 2.1. La Réunion 8 2.2. Temporal data 11 3. Preprocessing, data description and previous work 12 3.1. Previous works 13 3.1.1. Operational rules for road RN1 maintenance 13 3.1.2. Statistical Study of rock falls on the RN1 14 3.2. First analysis of rockfall events 15 3.3. PCA analysis of rockfall events 17 3.4. Spatial data 19 4. Methodology used for prediction models 25 4.1. Model 26 4.1.1. Nearest Neighbors 26 4.1.2. Decision Tree 27 4.1.3. Neural Network (NN) 29 4.2. Performance metrics 31 5. Results of models on RN1 data 32 5.1. Operation code 33 5.2. Nearest Neighbors 34 5.3. Decision trees 36 5.4. Neural Networks 41 5.5. Other models 44 5.6. Discussion 44 Conclusion 46 Attachments 51 Additional result of models : Random Forest 51 Additional result of models : Histogram based gradient boosting 52 3