Transforming Transport Project: Big Data to improve mobility in Europe

Transforming transport-Indra
Transforming transport-Indra

This R&D&i project, which demonstrate how the use of data may improve management and services rendered to clients in the logistics and transport sector, includes a rail pilot in collaboration with Adif and Ferrovial Agroman.

Indra leads the R&D&i project Transforming Transport, which intends to be the tangible demonstration of how massive amounts of data generated by the transport and logistics sector can be exploited in an innovative way using state-of-the-art big data technologies to improve the management of mobility and services rendered to users.

This project is one of the largest funded by the European Commission within the framework of the Horizon 2020 program, both in terms of budget, €18.7 million, as well as with the participation of 47 partners from Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, Netherlands, United Kingdom and Spain, including some of Europe’s leading infrastructure managers and transport operators.

Transforming Transport includes 13 pilot projects that will be implemented in several countries and in different areas of transport: roads, airports, ports, rail infrastructures, sustainable connected vehicles, integrated urban mobility and logistics. In each of these areas, new algorithms will be developed and tested, based on existing big data technologies, that allow for integrating and analyzing real data from diverse sources, developing transport patterns and exploiting these in a way that is most suitable for decision-making.

Indra leads, furthermore, four Transforming Transport pilot projects. Among these, we are going to launch, in collaboration with Adif and Ferrovial Agroman, a rail pilot project for the high-speed section between Cordoba and Malaga, in Spain. Big data technologies will be used to improve the management of the line’s maintenance works, optimize available resources and reduce maintenance costs based on integrating, processing and modeling different data sources: maintenance, information on assets, traffic data, topology, superstructure data and meteorological information. Real-time predictions will also be made on the impact of maintenance on certain events for rail traffic management.

Tangible benefits

The three main advantages that big data may contribute to the transport sector, and which the Transforming Transport project will address, are the improvement of efficiency, services rendered to clients and the possibility of generating new revenues or business models.

It is calculated that the use of big data may improve operational efficiency of processes and services linked with transport by, at least, 15%, optimizing the use of resources and reducing maintenance costs, fuel consumption or incidents, among others.

Likewise, these technologies make it possible to offer a more personalized service adapted to the clients’ needs, while also contributing to the optimization of passenger flows, reducing waiting times and goods delivery, and avoiding failed connections between different modes of transport, among other benefits. All of this will improve user satisfaction and will generate repeat business.

The use and exploitation of data may also lead to new sources of income and, even, new business models, based on a better knowledge of travelers’ preferences or travel patterns, for fields like tourism or advertising.