Proposers
A. Sanchis and Miguel Ángel Sotelo
Workshop Code
Please use the following code when submitting your paper to this Workshop: W10-MOBILITY
Scope and Aims
The proposed workshop aims to bring together researchers, engineers, and industry practitioners to discuss recent advances and challenges in Intelligent Transport Systems (ITS) powered by Artificial Intelligence (AI). The session will focus on the integration of connected, cooperative, and automated mobility (CCAM) technologies with intelligent infrastructures, drones, and electric vehicle management systems, with the goal of achieving safer, more efficient, and sustainable transport models.
AI is transforming the transport landscape by enabling advanced perception, decision-making, and control systems for vehicles and infrastructures, supported by V2X communication and Digital Twin technologies. These innovations pave the way for real-time traffic optmisation, predictive maintenance, and multimodal coordination between terrestrial and aerial systems.
The main objective of this workshop is to promote knowledge exchange and collaboration between academia, industry, and public administrations. It aims to foster the development of next-generation ITS solutions that leverage AI to address current challenges in safety, energy efficiency, and environmental sustainability.
Content and Objectives
The workshop will include technical sessions, presentations, and case studies focused on the application of Artificial Intelligence across different layers of the transport ecosystem — from perception and control, to strategic planning and infrastructure management. Key topics and objectives include:
- Development of AI-based perception, prediction, and decision-making systems for autonomous and automated vehicles.
- Application of machine learning and reinforcement learning for dynamic traffic control, anomaly detection, and incident management.
- Design of intelligent infrastructures that interact through cooperative V2X communication frameworks (V2V, V2I, V2D).
- Integration of AI-driven drones and urban air mobility into terrestrial transport networks for surveillance, inspection, and logistics.
- Optimisation of electric vehicle management, charging strategies, and energy consumption through AI-enabled predictive models.
- Development of AI-based fleet management and multimodal optimisation systems for public transport and logistics operations.
Expected outcomes include the definition of a shared research roadmap on AI-enabled ITS, the identification of collaboration opportunities, and the dissemination of best practices and standards for deploying cooperative, connected, and sustainable mobility technologies.
This workshop is proposed within the framework of the Thematic Network on Artificial Intelligence for Smart, Autonomous, Sustainable and Safe Mobility (IA4MOV), funded by the Spanish State Research Agency under grant RED2024-153662-T.
The network is composed of research groups from the University of Alcalá (UAH), University of Granada (UGR), European University (UE), Polytechnic University of Madrid (UPM), University of Salamanca (USAL), University of Oviedo (UNIOVI), two groups from the Polytechnic University of Valencia (UPV), the Complutense University of Madrid (UCM), the University of Málaga (UMA), and four groups from the Carlos III University of Madrid (UC3M).
Consequently, a significant number of papers are expected, at least one from each participating group —16 groups — in addition to those submiced by other research teams working in this highly relevant field.