Connected cities mobility

In recent years, intelligent transportation system (ITS), aiming to provide innovative services relating to different modes of transport and traffic management and enable various users to be better informed and make safer, have been strongly developed. This is due expecially to technological enhancements and to an improving demand coming from users, public administrations and car manifacturers sharing a common strategy related to a mid term full vehicle connectivity.

From the industrial point of view, connected vehicles become the next big challenge for the automotive industry; infact, as reported by economic analysis, the market for in-vehicle connectivity is expected to reach 120 billion of euro by 2020. For automotive industry the starting point is represented by a market segment where they can pursue their own monetization model giving to the commercial fleets added value systems able to decrease fuel and timing costs through intelligent navigation, minimizing downtime through predicitve maintenance, better integrating their vehicles into their value chain by linking them to order management systems and other IT platforms; for private users, the connectivity ecosystem can enable different services such as intelligent routing, smart parking, maintenance, wheater driving interaction, road status, etc. (fig. 1).

Figure 1 – The connectivity ecosystem

Geographic information plays a crucial role in this connectivity ecosystem, relating the so called “driving environment” (all the data coming from outside the vehicle) to the “driving experience” (the data flows generated by the vehicle itself).

From the operational point of view different topics should be investigated; these topics can be grouped into three different sub domains:

  1. Acquisition, modelling, management, updating and sharing of road networks, ITS and vehicle generated data (encompassing both environment and driving experiences);
  2. Definition of algorithms, processing chains and data exchange formats enabling new mobility services related to connected vehicles;
  3. Setting up of a testbed useful to implement and validate input data, processing chains and enabled mobility services.

Project paradigms will be based on Open Source (OS) data and procedures and a fully crowdsourced approach both for data acquisition/updating and dissemination.

For the first subdomain, the different activities could ragard: analysis and benchmarking of the actual road transportation networks, both commercial and OS, available; analysis and implementation of a possible National OS transportation network  able to integrate all the road impedences generated at local level by different owners and concessionaries; analysis and benchmarking of the actual ITS related data, both proprietary and OS and both static and dynamic; acquisition by the endorsing companies of vehicle generated data both static and dynamic; analysis and bechmarking of the actual OS remotely sensed data useful for dynamic monitoring of environment conditions; implementation of a GEODB integrating all ITS related data into an OS transportation network; implementation of an OS webGIS platform for data sharing and dissemination both for the project Units and for the endorsing companies.

As far as the second sub domain is concerned, the different activities regards analysis, benchmarking and algorithm implementation of a set of possible data enabling innovative mobility services related to connected vehicles. In particular:  ITS data, OS digital maps, remotely sensed imageries and measurements and mass market positioning systems.

For the third subdomain, two different activities are envisaged: definition of a testbed, in collaboration with the local companies, where implementing milestones gained in the different activities related to subdomains 1 and 2 and eventually, testing and validation of the milestones gained in the different activities ralated to sub domains 1 and 2.