INNOVATIVE SOLUTIONS TO IMPROVE MOBILITY
AND REDUCE TRAFFIC CONGESTION
European cities face daily problems with the mobility of their inhabitants and visitors, as well as with the delivery of goods and services along their streets and connecting roads.
QROWD offers local government and transportation businesses innovative solutions to improve mobility, reduce traffic congestion and make navigation safer and more efficient. Better use of urban infrastructures and reduced travel times will improve the environment by curbing CO2 emissions – ultimately enhancing quality of life in European cities.
To achieve this, QROWD will integrate different sources of data – maximizing the value of Big Data in planning and managing urban traffic and mobility.
Through open innovation and crowdsourcing, QROWD’s Big Data platform will deliver accurate results which matter to citizens, public sector authorities, and businesses.
In QROWD we involve the people – the citizens- to use the technology and corporate and Local Administration decision makers to make the plans and investments to actually materialise the benefits, such as improvements in timeliness and accuracy of the traffic–related information derived from the innovative usage of technologies and social participation in e.g. running the cities.
QROWD NEWS
The QROWD Ethical Advisory Board, managed by the Project Manager, has been established in order to oversee the ethical concerns around its two smart transportation pilots and therefore, the board members were selected by TomTom, Germany and the Comune di Trento, Italy. The board members were selected in order to ensure that QROWD’s data collectionRead more
OUR PARTNERS
Interface to the Internet of Things FIWARE Webinar! In this webinar, Fernando Mendez Requena from @Atos discusses the details of how to configure an instance of the Ultralight #IoT agent how to connect IoT devices using #MQTT. #FIWARE #Webinar #Developers https://t.co/LR1LmnwX0X
DataBenchers are working hard here in Madrid! 👩💼 Thanks @AtosES for hosting our meeting and @IDC4EU for coordinating the discussion #AI #BigDataAnalytics #machinelearning #bigdata https://t.co/Euf5TFZRrg
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