fleet-optimization

Digital twin of the Paris Fire Brigade (BSPP): event-driven simulation (~480k yearly interventions) and GPU-accelerated optimization (PyTorch, simulated annealing) of fleet allocation across 72 stations. Academic project, Ecole Polytechnique x BSPP.

Simulador de acarreo subterráneo en Python con optimización de flota, análisis de colas y costos usando datos simulados.

AI readiness stakeholder interview template for logistics and fleet operations. Densight Labs.

End-to-end AI pipeline for autonomous drone delivery simulation over urban environments. Features: CSP validation, fleet optimization, genetic algorithms, A* pathfinding with live rerouting, ML-based demand forecasting (Random Forest, MAE: 25.56 min), anomaly detection (82.75% accuracy), and interactive Streamlit dashboard

Routing, distance matrices, and fleet optimization API. Python and JS/TS SDKs.

How an electric fleet should charge. I use 259k real charging sessions from Palo Alto and a robotaxi simulator running 3M real Manhattan trips with real electricity prices.

AI-powered supply chain disruption intelligence and fleet utilisation platform for shipment risk detection, rerouting recommendations, idle fleet redeployment, and cold-chain monitoring.

A Mixed-Integer Linear Programming (MILP) model for cost-optimal truck fleet electrification and charging infrastructure planning.

3D UAV fleet path planning simulation — K-Means allocation, Ant Colony Optimization (TSP), and Cooperative A* (MAPF) with space-time reservation tables. Built with React and Three.js.

Analysis of flight performance for a major Dubai-based carrier | Python + Pandas + Seaborn | Capstone Project 3

Demand forecasting and fleet-allocation intelligence over 9.55M NYC taxi trips with leakage-safe features, ML evaluation and route clustering.