ENAC Seminar Series by Prof. J. Kim
Event details
| Date | 06.02.2020 |
| Hour | 08:30 › 09:30 |
| Speaker | Prof. Jiwon Kim |
| Location | |
| Category | Conferences - Seminars |
08:30 – 09:30 – Prof. Jiwon Kim
Senior Lecturer, The University of Queensland, Australia
Understanding and Predicting Urban Mobility using City-wide Trajectory Data
The growing use of location-sensing technologies such as GPS, Bluetooth, and WiFi has led to massive collections of urban trajectory data capturing the detailed spatiotemporal footprint of individual people and vehicles travelling around a city. Such city-wide trajectories provide unique opportunities to look deeper into patterns of individual road-user movements, allowing more accurate modeling and prediction of travel behavior and network traffic dynamics. The increasing availability of large-scale trajectory data has accelerated research in urban mobility analytics, which aims to leverage and provide different views on a city’s mobility data to enhance the city’s overall mobility performance. This talk will present some recent studies in urban mobility analytics and discuss their roles in improving network traffic flows and enabling mobility-aware, user-centric road operations and transportation services. The studies are based on city-wide trajectories of vehicles and public transport passengers and use a range of data-driven approaches including trajectory data mining, visualization, and predictive modeling based on deep learning.
Senior Lecturer, The University of Queensland, Australia
Understanding and Predicting Urban Mobility using City-wide Trajectory Data
The growing use of location-sensing technologies such as GPS, Bluetooth, and WiFi has led to massive collections of urban trajectory data capturing the detailed spatiotemporal footprint of individual people and vehicles travelling around a city. Such city-wide trajectories provide unique opportunities to look deeper into patterns of individual road-user movements, allowing more accurate modeling and prediction of travel behavior and network traffic dynamics. The increasing availability of large-scale trajectory data has accelerated research in urban mobility analytics, which aims to leverage and provide different views on a city’s mobility data to enhance the city’s overall mobility performance. This talk will present some recent studies in urban mobility analytics and discuss their roles in improving network traffic flows and enabling mobility-aware, user-centric road operations and transportation services. The studies are based on city-wide trajectories of vehicles and public transport passengers and use a range of data-driven approaches including trajectory data mining, visualization, and predictive modeling based on deep learning.
Practical information
- General public
- Free
Organizer
- ENAC
Contact
- Cristina Perez