Data-driven distance metrics for kriging - Short-term urban traffic state prediction
Journal article, 2023
Distance metric
Spatio-temporal prediction
Traffic flow prediction
Kriging
Author
Balázs Varga
Budapest University of Technology and Economics
Mike Pereira
University of Gothenburg
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Université Paris PSL
Balázs Adam Kulcsár
Chalmers, Electrical Engineering, Systems and control
Luigi Pariota
University of Naples Federico II
Tamas Peni
Institute for Computer Science and Control
IEEE Transactions on Intelligent Transportation Systems
1524-9050 (ISSN) 1558-0016 (eISSN)
Vol. 24 6 6268-6279STOchastic Traffic NEtworks (STONE)
Chalmers AI Research Centre (CHAIR), -- .
Chalmers, 2020-02-01 -- 2022-01-31.
Areas of Advance
Transport
Subject Categories
Mathematics
Transport Systems and Logistics
Infrastructure Engineering
Probability Theory and Statistics
Control Engineering
Computer Vision and Robotics (Autonomous Systems)
DOI
10.1109/TITS.2023.3251022