There is high demand for Rail infrastructure in developing countries, as rail infrastructure is crucial for economic growth. Yet, oftentimes rail investments fail due to insufficient expertise and planning. Our project intends to solve this problem by providing a cost-effective solution for railway infrastructure planning in developing countries by using satellite data to streamline rail infrastructure planning, reducing the need for extensive expertise.
When planning railroads, parameters, such as geographical features, topography, land cover classification, and soil moisture need to be taken into account to determine suitability of certain areas for placing rail infrastructure.
We make use of data from Sentinel 1 & 2 satellites, African Energy Commission as well as the client input, which are provided to an algorithm that calculates the most cost effective layout.
The project is solving the Supporting sustainable infrastructure development challenge by facilitating sustainable transportation development in developing countries. Our project, by providing a cost-effective solution for railway infrastructure planning, opens new possibilities for affordable railway development in areas with poor or no railway access, therefore positively impacting the industry and people’s mobility.
Responsibility: Software engineering
I am a 21-year-old TU Delft Computer Science & Engineering student. I am working as a full-stack web developer interested in AI and Data Science.
Responsibility: Geological data processing
20 year old TU Delft Applied Earth Sciences student from Indonesia taking part in his first hackathon. Have had a course on remote sensing. Interested in sustainable development of energy.
Responsibility: Socioeconomic strategy
21 year old TU Delft Computer Science & Engineering student and Android developer from Poland.
Responsibility: Rail infrastructure feasibility
18 Year old TU Delft Electrical Engineering student who spends her free time in a steam engine workshop.
Responsibility: Software engineering
21-year-old TU Delft Computer Science student taking part in his first hackathon. Full-stack developer with interests in Data Science & AI. Enjoys sports in free time.
Responsibility: Team leadership
- 21 year old
- Delft Computer Science and Engineering
- Erasmus University Business Strategy Consulting
- Full Stack developer.