PRobabilistic PRedictIon for Smart Mobility under stress scenarios

Project Information

PRISM

Grant agreement ID: 745673

DOI 10.3030/745673

Project closed

EC signature date 24 March 2017

Start date 1 April 2017

End date 31 March 2019

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 212 194,80

EU contribution € 212 194,80

Coordinated by

DANMARKS TEKNISKE UNIVERSITET
Denmark

Publications

Peer reviewed articles (3)

Multi-output Gaussian processes for crowdsourced traffic data imputation

Author(s): F Rodrigues, K Henrickson, FC Pereira
Published in: IEEE Transactions on Intelligent Transportation Systems, 2018, Page(s) 1-10, ISSN 1524-9050
Publisher: Institute of Electrical and Electronics Engineers

Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data

Author(s): Filipe Rodrigues, Francisco C. Pereira
Published in: Transportation Research Part C: Emerging Technologies, Issue 95, 2018, Page(s) 636-651, ISSN 0968-090X
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.trc.2018.08.007

Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach

Author(s): Filipe Rodrigues, Ioulia Markou, Francisco C. Pereira
Published in: Information Fusion, Issue 49, 2019, Page(s) 120-129, ISSN 1566-2535
Publisher: Elsevier BV
DOI: 10.1016/j.inffus.2018.07.007

Conference proceedings (1)

Deep Learning from Crowds

Author(s): Rodrigues, F., & Pereira, F. C.
Published in: The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018, Page(s) 1611-1818
Publisher: AAAI