The open source air traffic simulator

An Aircraft Design Toolbox

Extension for MATSim to allow for the inclusion of aerial passenger-carrying vehicles, i.e. a station- and network-bound transport mode that requires station access and egress trips with conventional ground-based modes.

Python implementation of algorithm proposed in paper "Autonomous On-Demand Free Flight Operations in Urban Air Mobility using Monte Carlo Tree Search"

Hybrid Transformer based Multi-agent Reinforcement Learning (HTransRL) is for drone coordination in air corridors, addressing the challenges of dynamic dimensions and types of state inputs, which cannot addressed by the traditional MARL.

An eVTOL Aircraft Design Toolbox

NAVSIM: a U-Space service development tool

Preliminary Urban Air Mobility Model

Larp (/lärp/): Last-Mile Restrictive Planning

In this project I implemented my flight controller in C++ for the Udacity simulated drone. This controller can eventually be deployed to a real drone!

Compilation of my research data

In this project, I applied 3D Notion Planning techniques to implement a drone agent capable of plan and execute missions in a complex urban environment.

An award-winning solution proposal for optimizing vertiport site selection in Urban Air Mobility (UAM) using multi-source data analysis and platform logic design. Recognized at the 9th Hyundai Motors University Case Competition.

Advanced Air Mobility

In this project, I developed the estimation portion of my controller for the drone in the Udacity CPP simulator. My simulated quad is now able to fly with my estimator and my custom controller (from project 3).)

The future of aviation is here! Supersonic flights in 3 hours, electric & hydrogen aircraft, flying taxis, vertiports, space tourism, and the end of kerosene. Aviation 2040 — welcome to the skies of tomorrow.

A ride hailing responsive app for aircrafts