Topics of interest
The AITS Thematic Track welcomes and encourages contributions reporting on original research, work under development and experiments of different AI techniques, such as, supervised/unsupervised learning approaches (e.g. neural networks for classification problems), biologically inspired approaches, evolutionary algorithms, knowledge-based and expert systems, case-based reasoning, fuzzy logics, intelligent agents and multi-agent systems, support vector regression, data mining and other pattern-recognition and optimization techniques, as well as concepts such as ambient intelligence and ubiquitous computing, service-oriented architectures, and ontology, to address specific issues in contemporary transportation, 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;
- legal and ethical issues in intelligent transportation systems and smart mobility.
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