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Consultancy and technical assistance for the improvement of the state's road network management through the acquisition, exploitation, and visualization of road information using Big Data tools.
ITS and tunnels
España
Dirección General de Carreteras
2025-2029

The General Directorate of Roads is launching an ambitious project aimed at improving the management of the state road network through the use of Big Data and AI tools. The project, which will last for 4 years, integrates advanced technologies to ensure a more efficient and safer road infrastructure.

One of the key components of the project is the SIDERA Analytics platform, designed to analyze and display the real behavior of road users, the conditions of the infrastructure, and its surroundings, through multi-source data and dynamic and instant updates.

Innovation and technology at the service of roads

SIDERA Analytics is an advanced platform that shows and analyzes the real behavior of road users. Through the exploitation of multi-source data, including Floating Car Data and connected vehicle data, this tool provides a detailed overview of how users move, their speed, parking patterns, and the duration of their stops.

Through dynamic and instant data updates, SIDERA Analytics offers on-demand analytics, allowing for the generation of mobility reports of varying complexities and specific studies for different use cases. The platform also analyzes the conditions of the infrastructure, its assets, and its surroundings, providing road managers with a comprehensive and accurate perspective on the current and future state of the roads.

Additional project data

This type of data also allows for the analysis of the infrastructure’s conditions, its assets, and its surroundings through the sensors of vehicles traveling on the roads. The platform has filters for the type of data to be displayed, spatial, temporal, vehicle type and attributes, boolean or sequential, among others.

By integrating these data with others from different sources, mapping them on the platform, and analyzing them, the platform generates mobility reports of varying complexities, as well as specific studies for each use case.

The platform provides on-demand analytics thanks to the dynamic and instant update of the data displayed and analyzed, allowing each user to customize their different dashboards and visualization and analysis formats according to their own needs, for which no “Data Analyst” knowledge is required.

CGT Data English

A strategic project for the future of mobility

The initiative led by SICE not only improves road management but also presents a series of collateral benefits. The exploitation of road data through SIDERA Analytics allows improving user safety, optimizing the planning of new infrastructures, and reducing response times to incidents and emergencies.

Furthermore, the platform helps identify mobility patterns that can be used to develop sustainability strategies, contributing to emission reductions and promoting a more efficient use of resources.

General Objectives

The project integrates data from the equipment and systems of the Dirección General de Carreteras, IGN, AEMET, vehicle manufacturers, mobile phone data, and other providers, thus providing a more comprehensive and accurate view of the road situation. Through Big Data analysis tools, all ETL (Extract-Transform-Load) processes will be covered, facilitating the transformation of aggregated data into actionable intelligence. This actionable intelligence will be generated by Machine Learning algorithms and data analytics engines that employ advanced techniques such as data mining and clustering.

The geographic visualization of data will be simple and intuitive thanks to the GIS integration, allowing more informed decision-making. Additionally, the project includes the generation of reports on various variables and indicators, as well as the creation of dashboards and KPIs in different formats, adapting to the specific needs of each user. In short, the project seeks to offer a comprehensive and advanced solution for the efficient and effective management of the state’s road network.

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