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Trajectory clustering is an important operation of knowledge discovery from mobility data. Especially nowadays, the need for performing advanced analytic operations over massively produced data, such as mobility traces, in efficient and scalable ways is imperative.

Current trends towards the use of big data technologies in the context of smart cities suggest the need for developing novel software development ecosystems upon which advanced mobility functionalities can be developed.

AGORA is the B2B data platform broker of Atos to connect Data Providers and Data Consumers, facilitating the access, acquisition and trade-off of Connected Vehicle and Smart Home data under the standardized data model (CIDM).

Key motivation of Cross-CPP project is to give cross-sectorial industries access to the great spectrum of sensor data coming from products from various industrial sectors (vehicles, smart home devices, etc.).

The QROWD Analytics Optimisation Toolbox (AOT) comprises five tools aimed at improving the performance -efficiency and accuracy- of the analytics required to deliver the QROWD mobility services:

The QROWD Modal Split toolkit is a disruptive solution to generate dynamic Modal Split (MS) indicators.

Traffic and Travel Information services have had an explosive growth in recent years, but still considerable progress is to be made, building on top of the 500+ million GPS devices found in all sectors of the economy and society.

This crowdsourcing-enabled big data integration and analytics services platform allows the efficient management of the entire mobility/transport/logistics related data value chains: integration of existing (heterogeneous) data sources affecting mobility; Generation of new data; Curation and meani

One of the most innovative products that the QROWD project offers is that of the Virtual City Explorer (VCE). VCE is a crowdsourced solution for mobility infrastructure maps.

More and more vehicles are connected to the Cloud.