Supporting Green Mobility for Smart Cities: STREETLIFE Project is On Track
News from Nov. 12, 2013
STREETLIFE will develop a multimodal urban mobility information system that provides mobile information services to end users in order to promote and recommend sustainable transport alternatives, thus reducing traffic and related emissions in cities. It also offers to traffic management centers and city administrations sophisticated ICT solutions to control the mobility resources and policies and to proactively enhance them.
A variety of information sources has to be integrated in the STREETLIFE Mobility Information System for this purpose. A huge amount of real-time data will be retrieved from transport planning, traffic management, connected cars and other transport related sources. Intelligent data processing and fusion methods will ensure that the user will be provided at every time with reliable up-to-date information regarding the best available travel route and combination of transport means.
The STREETLIFE Mobility Information System will be implemented in three pilot sites, i.e. cities of different size, each showing individual characteristics of the transport system: Berlin (Germany), Tampere (Finland) and Rovereto (Italy). The STREETLIFE system will be tested and evaluated in each pilot city in order to assess its impact on carbon emissions and further environmental parameters.
The interdisciplinary STREETLIFE consortium is balanced between partners of ICT and transport research, industry and cities. The research institutions Fraunhofer FOKUS (DE), Fondazione Bruno Kessler (IT), Deutsches Forschungszentrum für Künstliche Intelligenz (DE), Aalto University (FI) and Deutsches Zentrum für Luft- und Raumfahrt (DE) are closely cooperating with the industrial partners Siemens (DE) and CGI (FI). The City of Tampere (FI), Comune di Rovereto (IT), CAIRE URBANISTICA (IT) and Berlin Partner für Wirtschaft und Technologie (DE) are representing the participating cities and regions of the project.
The STREETLIFE project receives funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement No. 608991.