Held in conjunction with AAMAS 2026 (https://cyprusconferences.org/aamas2026/)
In today’s hyper-connected world, traffic and transportation systems rank among the most complex socio-technical systems. They are distributed, dynamic, and heterogeneous, spanning geographic, organizational, and decision-making boundaries. Their subsystems, ranging from vehicles to infrastructure operators, and mobility platforms, exhibit increasing autonomy and intelligence, while remaining deeply interdependent. Under strong operational, regulatory, and societal constraints, these systems must support real-time decision-making, while ensuring safety, efficiency, equity, resilience, and sustainability under uncertainty. Meeting these competing objectives requires new paradigms for coordination, control, and adaptation at scale.
The availability of large-scale, high-frequency, and multi-modal data from sensors, connected and autonomous vehicles, mobile devices, and digital platforms further increases complexity. This calls for advanced AI techniques enabling scalable reasoning, learning, coordination, and control in dynamic and partially observable environments. Recent advances in multi-agent reinforcement learning, deep learning, foundation and large language models, graph neural networks, digital twins, and hybrid AI are reshaping how intelligent transportation systems are modeled, simulated, and operated. Ensuring robustness, safety, interpretability, fairness, and real-world deployability of such AI-driven systems remains a critical research frontier.
The ATT 2026 workshop aims to bring together researchers and practitioners to exchange ideas and results on how large-scale traffic and transportation systems can be modeled, simulated, controlled, and managed at both micro and macro levels, using autonomous agents and multiagent systems. The workshop welcomes theoretical, methodological, and applied contributions combining machine learning, optimization, control, simulation, and data-driven AI approaches. In particular, work on deep learning and data-centric approaches to address challenges in traffic and transportation are strongly encouraged.
TOPICS OF INTEREST
- Autonomous and connected vehicles, collaborative driving
- Intelligent vehicles, intelligent assistance systems and human involvement
- Coordination in intelligent transportation systems and vehicle fleets
- Agent based intervehicular communication and V2I communication
- Autonomic and autonomous transportation systems
- Intelligent Optimization (e.g., traffic assignment, routing, route choice)
- Distributed decision making in traffic, transportation and transport
logistics
- Self-* properties and theory of intelligent traffic and transportation
systems
- Intelligent, adaptive, and learning-based traffic control
- Multi-agent reinforcement learning and game-theoretic approaches
- Data-driven approaches in the domain of traffic and transportation
- Deep learning and graph-based architectures for spatio-temporal traffic data
- Intelligent monitoring of transportation systems, data collection,
filtering, prediction and distribution of traffic information and
transportation data
- Agent-based simulation of traffic and transportation systems and their
behavior
- Microscopic modeling of vehicle, pedestrian, and traveler behavior
- Agent-based pedestrian and crowd simulation
- Digital twins for traffic operations and mobility planning
- Verification, validation, and testing of intelligent transportation systems
- Shared mobility systems, e.g., car-sharing, ride-sharing, bike and e-scooter
sharing
- Multi-modal journey planning and mobility orchestration
- Mobility-as-a-Service (MaaS) platforms and ecosystems
- Smart transportation systems leveraging mobile and edge devices
- Applications in traffic, mobility, and transport logistics
- Future mobility technologies and concepts
IMPORTANT DATES (tentative)
Feb 4, 2026: Workshop paper submission due date
Mar 20, 2026: Notification of paper acceptance
Apr 15, 2026: Camera-ready papers due
May 26, 2026: ATT 2026 Workshop
We intend to allow transfer of papers from the AAMAS main conference track and we are investigating the details of the procedure: dates will be updated accordingly. For conference registration dates please see AAMAS 26 web site (https://cyprusconferences.org/aamas2026/).
Note: all deadlines are at the end of the day specified, anywhere on Earth (UTC-12).
VENUE AND CONTACT DETAILS
The ATT 2026 workshop will be held within the workshop program of AAMAS 2026. We will let you know when the exact location and date become available.
ORGANIZING COMMITTEE
Ivana Dusparic, Trinity College Dublin, Ireland
Marin Lujak, University Rey Juan Carlos, Spain
Giuseppe Vizzari, University of Milano – Bicocca, Italy
Jarosław Wąs, AGH University of Krakow, Poland