Building a sustainable city challenges all its stakeholders: public authorities, companies, planning agencies, transport operators and so on. The resolution of systemic mobility issues of sustainable city will require from these actors a multidimensional and multi-scale apprehension. In order to meet it, one step consists in structuring mobility's data in an automated and reproducible way, i.e. territory by territory and up-to European region scale. That’s why the mobility data collection, the data processing, the definition of new intelligent models and the development of a standard geographic platform are the main purposes of this proposal. The proposed NORM-ATIS approach for a comprehensive understanding of mobility behavior over a territory is a bottom-up and a decentralized approach based on existing multisource data issued from smart mobile applications, floating car data, institutional data and crowdsourcing requiring Big Data storage and treatments but also multi-scale mobility analysis and visualization. The main objectives are therefore: • to organize, structure and industrialize the collection of mobility data in the territories and their related actors, • to disseminate well-structured predictive and real time multimodal traveler information, properly mapped with its related infrastructure and topography, • to promote the use of these tools for individual and collective control of the transport and mobility system at a local level. • to exchange, consolidate and analyze these motilities on larger scales at national and at European level by a pre-normative approach,