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001     184904
005     20230208173501.0
024 7 _ |a G:(EU-Grant)688082
|d 688082
|2 CORDIS
024 7 _ |a G:(EU-Call)H2020-ICT-2015
|d H2020-ICT-2015
|2 CORDIS
024 7 _ |a corda__h2020::688082
|2 originalID
035 _ _ |a G:(EU-Grant)688082
150 _ _ |a SETA: An open, sustainable, ubiquitous data and service ecosystem for efficient, effective, safe, resilient mobility in metropolitan areas
|y 2016-02-01 - 2019-01-31
371 _ _ |a Birmingham City Council
|b Birmingham City Council
|d United Kingdom
|e http://www.birmingham.gov.uk/
|v CORDIS
371 _ _ |a AIMSUN SLU
|b AIMSUN SLU
|d Spain
|e http://AIMSUN.COM
|v CORDIS
371 _ _ |a SCYFER BV
|b Scyfer
|d Netherlands
|e http://www.scyfer.nl
|v CORDIS
371 _ _ |a COMUNE DI TORINO
|b CITTA DI TORINO
|d Italy
|e http://www.comune.torino.it
|v CORDIS
371 _ _ |a AIZOON CONSULTING SRL
|b AIZOON CONSULTING SRL
|d Italy
|e http://www.aizoongroup.com
|v CORDIS
371 _ _ |a Knowledge Now Limited
|b K-NOW
|d United Kingdom
|e http://www.k-now.co.uk
|v CORDIS
371 _ _ |a SOFTWARE MIND SA
|b SMIND
|d Poland
|v CORDIS
371 _ _ |a AYUNTAMIENTO DE SANTANDER
|d Spain
|e http://www.santander.es
|v CORDIS
371 _ _ |a University of Sheffield
|b University of Sheffield
|d United Kingdom
|e http://www.sheffield.ac.uk/
|v CORDIS
371 _ _ |a Sheffield Hallam University
|b SHU
|d United Kingdom
|e http://www.shu.ac.uk/
|v CORDIS
371 _ _ |a University of Cantabria
|b UC
|d Spain
|e http://web.unican.es/
|v CORDIS
371 _ _ |a Delft University of Technology
|b Delft University of Technology
|d Netherlands
|e http://www.tudelft.nl/en/
|v CORDIS
371 _ _ |a AILLERON SA
|b AILLERON
|d Poland
|e http://www.ailleron.com
|v CORDIS
371 _ _ |a MACHINE2LEARN BV
|d Netherlands
|e http://www.machine2learn.nl
|v CORDIS
371 _ _ |a THE FLOOW LIMITED
|b THE FLOOW LIMITED
|d United Kingdom
|e http://www.thefloow.com
|v CORDIS
372 _ _ |a H2020-ICT-2015
|s 2016-02-01
|t 2019-01-31
450 _ _ |a SETA
|w d
|y 2016-02-01 - 2019-01-31
510 1 _ |0 I:(DE-588b)5098525-5
|a European Union
|2 CORDIS
680 _ _ |a Around 50% of the global population lives in metropolitan areas, and this is expected to grow to 75% by 2050. Mobility within these areas is complex as it involves multiple modalities of transport, multiple managing authorities, as well as several millions of citizens. The cost of inefficiency in transport and mobility are enormous. For example, inefficiency costs the UK economy €5.8 billion each year. €583 million is wasted on fuel (e.g. traffic congestion) alone each year, which attributes to increased urban pollution and CO2. Hold-ups to business or freight vehicles amounts to €1.5bn annually. Mobility generates huge amounts of data thought thousands of sensors, city cameras, and connected cars, as well as millions of citizens connected through their mobile devices. If properly managed, this data can be used to understand, optimise and manage mobility and make it more efficient, sustainable and resilient. SETA will address this challenge, creating a technology and methodology able to use this wealth of data to change the way mobility is organised, monitored and planned in large metropolitan areas. The solution will be able to collect, process, link and fuse high-volume, high-velocity, multi-dimensional, heterogeneous, cross-media, cross-sectorial data and to use it to model mobility with a precision, granularity and dynamicity that is impossible with today’s technologies. Such models will be the basis of pervasive services to citizens and business, as well as decision makers to support safe, sustainable, effective, efficient and resilient mobility. The project has the potential to impact the everyday lives of millions of people, their health and the environment with enormous financial and social impact. SETA’s solution will be evaluated rigorously by citizens, business and decision makers in 3 cities across Europe. The proposal includes a commercialisation plan and describes the economy of managing the SETA ecosystem in a metropolitan area.
909 C O |o oai:juser.fz-juelich.de:282169
|p authority:GRANT
|p authority
909 C O |o oai:juser.fz-juelich.de:282169
970 _ _ |a oai:dnet:corda__h2020::4e75468efdbc9bef1bebeaab7300cd5d
980 _ _ |a G
980 _ _ |a CORDIS
980 _ _ |a AUTHORITY

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