Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologycivil engineeringurban engineeringsmart cities
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologybluetooth
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyWiFi
- engineering and technologyenvironmental engineeringenergy and fuels
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RIA - Research and Innovation actionCoordinator
S10 2TN Sheffield
United Kingdom