Movilidad 2030

Description of the Project

Movilidad 2030 aims to address technologies in the field of intelligent mobility to overcome current limitations, contributing to the achievement of the objectives set at national and international level in sustainable mobility for 2030. The project focuses on 4 main pillars, in line with future mobility trends and seeking an integrative approach between the different trends:

• Embedded systems for large-scale deployment of connected and automated vehicles (CAVs)
• Design of the sustainable mobility model of the future
• Infrastructure technologies for the new mobility
• Regulation, analysis, operation and control for the new mobility

The project seeks to evolve and transform transportation towards a new sustainable mobility model based on automation and electrification, capable of responding to the problems previously exposed. To this end, technologies and systems are addressed both in the vehicle and in the infrastructure

Industrial Partners

Indra's Role

Indra is the project coordinator, where it also has a great technical weight in the developments carried out in Mobility 2030 and is in charge off one of the activities of the project.

Indra will deploy its In-Mova Space platform for the integration and exploitation of all transport data generated in the project. In-Mova Space promotes more sustainable and collaborative mobility and facilitates the development of new business models in the field of smart mobility.

Among the lines of research in which Indra is participating are the intelligent traffic technology (ITS), which will enable the safe coexistence of connected and non-connected vehicles, as well as the cooperative transport systems (C-ITS), which facilitate communication with the connected and autonomous vehicles. C-ITS systems facilitate infrastructure management and the deployment of vehicles with an advanced degree of automation, aiming for levels close to 4, according to the SAE definition. Indra is also trying to develop new traffic prediction systems, based on deep learning techniques, which also include the connected car itself as a source of additional information.

The company will also use Artificial Intelligence and advanced LIDAR systems for the characterization of vehicles in access control systems, with the aim of developing solutions to monitor the driving of connected and autonomous vehicles, in order to detect and warn the vehicle network and the control center of unusual or unexpected behavior, the result of hacks or malfunctions.

Universities and Technology centres

Technologies used

The following technologies are addressed within the project:

1. C-ITS (V2X)
2. Edge Computing
3. IoT
4. Bluetooth 4.0
5. Artificial Intelligence
6. ADAS
7. Fog Computing

This project has received funds from the research and innovation program "Misiones CDTI" of the Centre for the Development of Industrial Technology (CDTI) of the Ministry of Science and Innovation, within the Mission "Sustainable and Intelligent Mobility", under the file EXP - 00129266 / MIG - 20201040.