Real-time road traffic fusion and prediction with GPS and fixed-sensor data
Publication Type
Conference Proceeding Article
Publication Date
7-2012
Abstract
GPS devices offer new opportunities for short-term traffic prediction, especially in arterial road networks where traditional fixed-location sensors are sparse or unavailable. However, GPS data is often sparse both temporally and spatially. On its own, it is often insufficient for real-time traffic prediction. Hence, we consider the fusion of two types of data for the purpose of real-time traffic fusion and prediction: GPS data that is provided as point speeds, rather than trajectories, as well as (non real-time) traffic data such as is available from fixed sensors.
Discipline
Databases and Information Systems | Transportation
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings of the 15th International Conference on Information Fusion, FUSION 2012, Singapore, July 9-12
First Page
1468
Last Page
1475
ISBN
9780982443859
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
SHEN, Wei and WYNTER, Laura.
Real-time road traffic fusion and prediction with GPS and fixed-sensor data. (2012). Proceedings of the 15th International Conference on Information Fusion, FUSION 2012, Singapore, July 9-12. 1468-1475.
Available at: https://ink.library.smu.edu.sg/sis_research/10349
Additional URL
https://ieeexplore.ieee.org/document/6289981