{"id":24912,"date":"2012-07-06T10:54:39","date_gmt":"2012-07-06T08:54:39","guid":{"rendered":"https:\/\/inlab.fib.upc.edu\/projecte\/in4mo-advanced-system-of-information-on-the-mobility-of-people-and-vehicles\/"},"modified":"2012-07-06T10:54:39","modified_gmt":"2012-07-06T08:54:39","slug":"in4mo-advanced-system-of-information-on-the-mobility-of-people-and-vehicles","status":"publish","type":"projecte","link":"https:\/\/inlab.fib.upc.edu\/en\/projecte\/in4mo-advanced-system-of-information-on-the-mobility-of-people-and-vehicles","title":{"rendered":"In4Mo. Advanced System of Information on the Mobility of People and Vehicles"},"content":{"rendered":"","protected":false},"author":64,"featured_media":5622,"template":"","meta":{"_acf_changed":false},"experteses":[8,23],"tencnologies":[728,490,667,729,725,585,594,727,625,726,491,635,637,652,697],"class_list":["post-24912","projecte","type-projecte","status-publish","has-post-thumbnail","hentry","experteses-datascienceandbigdata-en","experteses-smartmobility-en","tencnologies-ampl-en-2","tencnologies-c-en","tencnologies-cplex-en","tencnologies-dynameq-simulator","tencnologies-hibernate-en","tencnologies-html-en","tencnologies-java-en","tencnologies-jboss-en","tencnologies-jpa-en","tencnologies-jquery-en","tencnologies-matlab-en","tencnologies-postgis-en","tencnologies-postgresql-en","tencnologies-r-en","tencnologies-simulador-aimsun-en"],"acf":{"minidescripcio":"Development of the applications that constitute the core of Smart Mobility, one of the fundamental pillars of the Smart City concept.","ordre_prioritat":0,"descripcio":"The main objective of the In4Mo project has been the development of applications that constitute the core of Smart Mobility, one of the fundamental pillars of the Smart City concept: the provision of information for traffic information systems, in any of their forms, and especially that of personal journey planners and Active Traffic Management systems, which allow the person responsible for managing the road network to have an adequate vision and estimate of the state of the road network and its plausible evolution in the short term, in order to make more efficient decisions.\n\n\n\nIn4Mo has been designing and developing according to foreseeable technological scenarios in the short-medium term, where traditional traffic detection technologies (e.g. magnetic induction loops) coexist with emerging technologies (e.g. magnetometers), among which ICT (Bluetooth, GPS...) play a relevant role, the penetrations and penetration trends of which allow relying on them in order to develop more efficient systems.\n\nThe fundamental thesis of In4Mo is that technology, i.e. sensorisation of the city, is a necessary but not sufficient condition for the generation of reliable, timely and value-added information, i.e. available where and when it is needed, in other words, that the degree of smartness is the result of efficient combination of data and its processing.\n\nBut the data provided by sensor measurements from different technologies are heterogeneous, so In4Mo's primary innovative activity has been the proposal of a methodology for Data Filtering, Fusion and Completeness that incorporates and integrates a variety of flexible and efficient analysis and processing methods, constituting a product that underpins a basic platform for the provision of homogeneous and consistent data that feeds the models for traffic information and management from any control centre:\n