Sagi Dalyot - Technion - Israel Institute of Technology
People with mobility disabilities face numerous challenges in their daily life and activities, with evident difficulties that include their orientation, navigation, and wayfinding in urban spaces. The research will involve the development of AI-based models that learn existing optimal routes frequently traveled by people with mobility disabilities (e.g., visually impaired pedestrians, people in wheelchairs) to calculate optimal parameters, weights and criteria for developing route calculation engine(s) that generates customized safe and accessible routes.
What is the data science project's research question?
What are the main urban-related physical and temporal influences - manifested in geographic data - on the mobility preferences of people with mobility?
What data will be worked on?
Geographic information system (GIS) related, e.g., layers, thematic and road networks, mainly from OpenStreetMap (SOM). The data is open source.
What tasks will this project involve?
Assimilation of GIS data, road network analysis, ML/DL models.
What makes this project interesting to work on?
This project has a strong social impact on certain communities in our society, which face daily difficulties and social isolation that negatively affects their wellbeing. The outcome can be implemented in practical location-based services, encouraging and enabling them to go out more, and thus helping them to be an equal part of our society.
What is the expected outcome?
Contribution to research paper and to software development.
What infrastructure, programs and tools will be used? Can they be used remotely?
GIS-software (e.g., QGIS), Python (e.g., PyCharm). All processes and developments can be done remotely.
What skills are necessary for this project?
Data analytics / statistics, Data mining / Machine learning, Deep learning, Geographic Information Systems.
Interested candidates should be at PhD level. Sagi Dalyot is looking for 1 visiting scientist, working on the project together with the team.