The Workshop welcomes and encourages contributions reporting on original research, work under development and experiments of different AI techniques, such as intelligent agents and multi-agent systems, supervised/unsupervised learning as well as statistical learning approaches (e.g. neural networks for classification problems, logistic regression, decision trees/rules induction, and so forth), biologically inspired approaches, evolutionary algorithms, knowledgebased and expert systems, case-based reasoning, fuzzy logics, data mining and/or fusion techniques, big-data analytics, and other pattern-recognition and optimization techniques, as well as ambient intelligence and ontologies, to address specific issues in contemporary transportation and mobility systems, which would 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.