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CORDIS

PRobabilistic PRedictIon for Smart Mobility under stress scenarios

Obiettivo

PRISM is about designing, implementing and testing methodologies to better predict transport demand in a city. While plenty solutions exist today for this objective, there is general consensus that, under stress scenarios (e.g. large social events, inclement weather, demonstrations, special days), those approaches are insufficient.

With new, smart mobility modes, demand prediction becomes even more important. For example, a one-way car sharing (e.g. DriveNow) or an autonomous mobility on demand service, are highly sensitive to rebalancing operations (moving vehicles to where demand is expected). In fact, bad demand predictions can lead to disastrous outcomes, by placing supply where it is not needed, and removing it from where it is required.

PRISM approach is to combine latest research from Transport Engineering and Computer Science, by using Probabilistic Graphical Models (PGMs), a tool that combines Bayesian statistics, graph theory and scientific computing. As a research area, PGMs have already reached a considerable level of solid foundations, community size, and software tools.

The Experienced Researcher (ER) has recently returned to Europe, after several years of research in Singapore and USA with the Massachusetts Institute of Technology (MIT), and this Marie SkŁodowska-Curie fellowship will be instrumental for his growth and affirmation in the Danish and European context.

Campo scientifico (EuroSciVoc)

Programma(i)

Argomento(i)

Meccanismo di finanziamento

MSCA-IF-EF-RI - RI – Reintegration panel

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Invito a presentare proposte

(si apre in una nuova finestra) H2020-MSCA-IF-2016

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Coordinatore

DANMARKS TEKNISKE UNIVERSITET
Contributo netto dell'UE
€ 212 194,80
Indirizzo
ANKER ENGELUNDS VEJ 101
2800 Kongens Lyngby
Danimarca
Regione
Danmark Hovedstaden Københavns omegn
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
€ 212 194,80