Cel
Transportation sector undergoes a considerable transformation as it enters a new landscape where connectivity is seamless and mobility options and related business models are constantly increasing. Modern transportation systems and services have to mitigate problems emerging from complex mobility environments and intensive use of transport networks including excessive CO2 emissions, high congestion levels and reduced quality of life. Due to the saturation of most urban networks, innovative solutions to the above problems need to be underpinned by collecting, processing and broadcasting an abundance of data from various sensors, systems and service providers. Furthermore, such novel transport systems have to foresee situations in near real time and provide the means for proactive decisions, which in turn will deter problems before they even emerge. Our vision is to provide the required interoperability, adaptability and dynamicity in modern transport systems for a proactive and problem-free transportation system. OPTIMUM will establish a largely scalable, distributed architecture for the management and processing of multisource big-data, enabling continuous monitoring of transportation systems needs and proposing proactive decisions and actions in an (semi-) automatic way. OPTIMUM follows a cognitive approach based on the Observe, Orient, Decide, Act loop of the big data supply chain for continuous situational awareness. OPTIMUM's goals will be achieved by incorporating and advancing state of the art in transport and traffic modeling, travel behavior analysis, sentiment analysis, big data processing, predictive analysis and real-time event-based processing, persuasive technologies and proactive recommenders. The proposed solution will be deployed in real-life pilots in order to realise challenging use cases in the domains of proactive improvement of transport systems quality and efficiency, proactive charging for freight transport and Car2X communication integration.
Dziedzina nauki
- social sciencessocial geographytransportfreight transport
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologyenvironmental engineeringair pollution engineering
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- social sciencessocial geographytransportpublic transport
Program(-y)
Zaproszenie do składania wniosków
Zobacz inne projekty w ramach tego zaproszeniaSzczegółowe działanie
H2020-MG-2014_TwoStages
System finansowania
RIA - Research and Innovation actionKoordynator
1050 Bruxelles / Brussel
Belgia
Zobacz na mapie
Uczestnicy (18)
106 82 ATHINA
Zobacz na mapie
2829-516 Caparica
Zobacz na mapie
1000 Ljubljana
Zobacz na mapie
18000 Nis
Zobacz na mapie
Organizacja określiła się jako MŚP (firma z sektora małych i średnich przedsiębiorstw) w czasie podpisania umowy o grant.
1070 VIENNA
Zobacz na mapie
Organizacja określiła się jako MŚP (firma z sektora małych i średnich przedsiębiorstw) w czasie podpisania umowy o grant.
1210 Wien
Zobacz na mapie
1120 Wien
Zobacz na mapie
WV1 1LY Wolverhampton
Zobacz na mapie
81100 Mytilini
Zobacz na mapie
1050-153 Lisbon
Zobacz na mapie
Organizacja określiła się jako MŚP (firma z sektora małych i średnich przedsiębiorstw) w czasie podpisania umowy o grant.
55132 Kalamaria - Thessaloniki
Zobacz na mapie
Organizacja określiła się jako MŚP (firma z sektora małych i średnich przedsiębiorstw) w czasie podpisania umowy o grant.
2000 Szentendre
Zobacz na mapie
2809 013 Lisboa
Zobacz na mapie
8000 NOVO MESTO
Zobacz na mapie
1000 Ljubljana
Zobacz na mapie
B1 1BB Birmingham
Zobacz na mapie
2670 501 LOURES LISBOA
Zobacz na mapie
1253 Luxembourg
Zobacz na mapie