This workshop proposal aims to promote a debate on current developments and advancements of Multiagent System Applications for Traffic and Transportation Systems. Bridging the gap between the AI community and transportation practitioners with multiagent techniques would lead the to discussion through cutting-edge distributed AI and simulation 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.
Hosted in the PAAMS conference, this forum would also benefit from the cross-field discussion with other study fields, such as Blockchain and Disruptive technologies for sustainable future societies. The idea is to aim to the generation of new ideas towards building innovative applications of agent technologies and artificial intelligence in order to reach smarter, greener and safer transportation systems, stimulating contributions that emphasise on how theory and practise are effectively coupled to solve real-life problems in contemporary transportation, naturally including all sorts of mobility systems. Today’s transportation systems are being devised on a more intelligent basis, and the concept of Intelligent Transportation Systems (ITSs) has become already a reality among us. More recently, ITS has evolved into the basis giving support to the development of the so-called Smart Mobility solutions, within the framework of Smart Cities, in which social issues increase the complexity of transportation systems and bring about new performance measures such as equity, security, while sustainability is strongly emphasised.
During the last decades, we have been witnessing the advent of ITSs taking place in our daily lives. Many efforts to develop more efficient mobility systems, improve the infrastructure and enhance the intelligence inside the vehicles are closely related to multi-agent systems due to their distributed and autonomous intelligence characteristics. Connected mobile communication devices (IoT) and coordination techniques are much needed in order to reach the so-called socio-technical society the intelligent transportation systems require. Thus, many AI areas, and mainly agent intelligence turns out to be a key ingredient to ITS.
Therefore, this proposed workshop is within the application-oriented, integrative, and multi-disciplinary perspectives of the PAAMS Conference series. It is intended to leverage the cross-fertilisation synergetic relationship between Multiagent Systems and ITSs. As a matter of fact, in most fields of Science, advancements, in theory, are also inspired by problems identified by practitioners in their field of expertise. That is also true in AI!
The AAITS Workshop series at PAAMS could then serve as a networking platform to discuss current developments and advances of AI, as well as how such findings might be practically applied to this challenging and inspiring domain.
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, knowledge-based and expert systems, case-based reasoning, fuzzy logic, 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.
- Thiago Reis Pedroso Munhoz Rúbio - LIACC - University of Porto (Portugal)
- Rosaldo Rossetti - LIACC - University of Porto (Portugal)