Artificial Intelligence in Transportation Systems

The AITS Track at EPIA Conferences aims to promote a debate on current developments and advancements of AI techniques in a rather practical perspective. It will gather both the AI community and transportation practitioners to discuss how cutting- edge AI technologies can be effectively applied to improve the performance of transportation systems and mobility in general on a sustainable basis, according to three important dimensions, namely economic, environmental, and social.

This forum also aims to generate new ideas towards building innovative applications of AI technologies into smarter, greener and safer transportation systems, stimulating contributions that emphasise on how theory and practice are effectively coupled to solve real-life problems in contemporary transportation, naturally including all sorts of mobility systems.

Indeed, contemporary transportation is evolving rapidly on a more intelligent basis, and the concept of Intelligent Transportation Systems (ITSs) has become already a reality among us, supporting the infrastructure leading to the emergence the so-called Smart Mobility, and to a whole bunch of Mobility-as-a-Service (MaaS) solutions as we witness today. Also, when placed within the framework of Smart Cities, ITS increases in complexity and brings about new performance measures such as equity and social impact, privacy and security, ethical and legal compliance, explainable decision-support, while environmental sustainability is strongly emphasised.


The topics of interest include, but are not limited to: 

  • Different modes of transport and their interactions (air, road, rail and water transports)
  • Intelligent and real-time traffic management and control
  • Design, operation, timetabling and real-time control of logistics systems and freight transport
  • Transport policy, planning, design and management
  • Environmental issues, road pricing, security and safety
  • Transport systems operation
  • Application and management of new technologies in transport
  • Travel demand analysis, prediction and transport marketing
  • Advanced traveller information systems and services
  • Ubiquitous transport technologies and ambient intelligence
  • Pedestrian and crowd simulation and analysis
  • Urban planning toward sustainable mobility
  • Service oriented architectures for vehicle-to-vehicle and vehicle-to-infrastructure communications
  • Assessment and evaluation of intelligent transportation technologies
  • Human factors in intelligent vehicles
  • Autonomous driving
  • Artificial transportation systems and simulation
  • Serious games and gamification in transportation
  • Behaviour modelling and social simulation of transportation systems
  • Electric mobility and its relationship with smart grids and the electricity market
  • Computer vision in autonomous driving
  • Surveillance and monitoring systems for transportation and pedestrians
  • Data-driven preventive maintenance policies
  • Anomalous trajectory mining and fraud detection
  • Smart architectures for vehicle-to-vehicle/vehicle-to-infrastructure communications
  • Automatic assessment and/or evaluation on the transport reliability (planning, control and other related policies)
  • Intelligent transportation infrastructure management and maintenance
  • Legal and ethical issues in intelligent transportation systems and smart mobility

Organisation Committee

  • Alberto Fernandez, CETINIA, Universidad Rey Juan Carlos, Spain
  • Tania Fontes, INESC TEC, Portugal
  • Rosaldo Rossetti, LIACC, Dep. Eng. Informática FEUP, Universidade do Porto, Portugal

Program Committee

  • Achille Fonzone, Edinburgh Napier University, UK
  • Ana Paula Rocha, University of Porto, LIACC, University of Porto, Portugal
  • António Pedro Aguiar, University of Porto, SYSTEC, Portugal
  • Carlos A. Iglesias, Universidad Politécnica de Madrid, Spain
  • Carlos Bento, University of Coimbra, Portugal
  • Cristina Olaverri-Monreal, Johannes Kepler University Linz, Austria
  • Danyang Sun, Lvmt-ENPC, France
  • Eduardo Camponogara, Federal University of Santa Catarina, Brazil
  • Eftihia Nathanail, University of Thessaly, Greece
  • Elisabete Arsenio, LNEC I.P., Portugal
  • Eugénio Oliveira, University of Porto, LIACC, Portugal
  • Fabien Leurent, Université Paris Est, LVMT, Ecole des Ponts ParisTech, France
  • Fenghua Zhu, Chinese Academy of Sciences (CAS), China,
  • Francesco Viti, University of Luxembourg, Luxembourg
  • Gianluca Di Flumeri, Sapienza University of Rome, Italy
  • Gonçalo Correia, Delft University of Technology, Netherland
  • Hilmi Berk Celikoglu, Technical University of Istanbul, Turkey
  • Holger Billhardt, Universidad Rey Juan Carlos, Spain
  • Javier J. Sanchez Medina, CICEI – ULPGC, Spain
  • João Mendes Moreira, INESC TEC, Portugal
  • Joel Ribeiro, INESC TEC, Portugal
  • Josep-Maria Salanova, CERTH/HIT, Greece
  • Juergen Dunkel, FH Hannover – University for Applied Sciences and Arts, Germany
  • Lígia Conceição, Armis ITS, Portugal
  • Luís Nunes, ISCTE-IUL, IT, Portugal
  • Marin Lujak, University Rey Juan Carlos, Spain
  • Mobyen Uddin Ahmed, Mälardalen University, Sweden
  • Pedro D’Orey, CISTER Research Center, Portugal
  • Rui Gomes, Armis ITS, Portugal
  • Sara Ferreira, University of Porto, CITTA, Portugal
  • Sara Paiva, Instituto Politécnico de Viana do Castelo, Portugal
  • Sascha Ossowski, University Rey Juan Carlos, Spain
  • Thiago Sobral, University of Porto, INESC TEC, Portugal