Code
01SC0323
Duration
01 October 2023 → 30 September 2024
Funding
Regional and community funding: Special Research Fund
Promotor
Research disciplines
-
Engineering and technology
- Intelligent transportation systems
- Cartography
- Geospatial information systems
Keywords
GeoAI
Spatiotemporal Trajectory Data
Travel Behaviour
Mobility
Transport Geography
Project description
Trajectory data has the potential to provide valuable insights into urban mobility but analyzing it in a semantic manner remains a challenge. We aim to introduce GeoAI techniques (i.e., the integration of geography and AI) into trajectory analysis to study the patterns and trends of urban travel behaviours, which will help to inform urban planning and transportation policy decisions.