Project description
Forecasting mobility patterns of the general population
Big Data can be used by stakeholders for planning and managing effective actions. Striving to make this a reality, the EU-funded DEMOGRAPHICA project envisions an algorithm that could analyse collective human behaviour and produce per-location, per-time-frame, actionable and reliable predictions fully customised to a client’s market needs. To forecast mobility patterns of the general population, the project makes use of socio-thermodynamics to analyse the complex, massive and anonymised data provided by mobile network operators. This will benefit vertical markets where an understanding of mobility patterns guides decision-making and can improve various key performance indicators for smart cities and a wide range of sectors.
Objective
What if an algorithm could analyse collective human behaviour and produce per-location, per-time-frame, actionable and reliable predictions fully customised as per each clients’ market needs? This would benefit all those verticals that depend on mobility patterns to plan effective actions. Marketers would count with tools to design efficient and viral advertising, awareness or fundraising campaigns. Smart- cities/Municipalities’ mobility and tourism responsibles would count with scientific tools to effectively put into practice their politics. Toll-roads planners/managers would count with reliable tools to manage actions.
DEMOGRAPHICA makes use of socio-thermodynamics to analyse the complex, massive and anonymised data (i.e. Call Detail Records -CDR-) provided by Mobile Network Operators (MNOs) to forecast mobility patterns of general population. This allows us to understand and reliably forecast citizens’ mobility patterns without violating their privacy. This is useful in many verticals where understanding these mobility patterns is essential to drive informed decisions and improve different KPIs (key performance indicators), from profitability to service level, especially in the whole world of smartcities, and particularly in some niches of this big market such as Transportation, Tourism and Out-of-Home Marketing, but it also has application in other sectors such as Health (epidemics evolution prediction), energy or cybersecurity, to mention a few.
Fields of science
- engineering and technologycivil engineeringurban engineeringsmart cities
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile network
- natural sciencescomputer and information sciencesdata sciencebusiness intelligence
- natural sciencescomputer and information sciencescomputer security
Programme(s)
Funding Scheme
SME-2 - SME instrument phase 2Coordinator
1004 LAUSANNE
Switzerland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.