Project
Autonomous Drone Delivery Simulation Platform
Full-stack simulation platform for autonomous drone delivery under dynamic weather and demand, built for evaluation, benchmarking, and route optimization research.
PythonReact.jsFull-stack SystemsSimulationOptimization
Started 2025Back to projects
Autonomous Drone Delivery Simulation Platform is a full-stack system designed to model autonomous drone delivery under dynamic weather and demand, enabling scenario-based evaluation of delivery performance, route quality, and fleet behavior.
Key results
- Executed more than 1,000 simulated delivery scenarios for system evaluation and benchmarking.
- Improved delivery time by 18% through graph-based and heuristic route optimization.
- Reduced energy consumption by 12% across simulated fleet operations.
What I built
- Designed and built a full-stack simulation platform for modeling autonomous drone delivery under dynamic weather and demand.
- Engineered route optimization and scheduling methods using graph-based and heuristic approaches.
- Used the platform for evaluation, experimentation, and performance benchmarking across delivery scenarios.
Why this matters
Autonomous delivery systems have to perform under changing operational conditions, not static assumptions. This project focused on evaluating how routing, scheduling, and environmental variability shape efficiency and system-level performance.