Chair: Rosaldo Rossetti
Co-Chair(s): Shuming Tang, Fenghua Zhu
Short Description
The Artificial Transportation Systems and Simulation (ATSS-TC) is a sub-committee of the IEEE Intelligent Transportation Systems Society. The aim of ATSS-TC is to foster the discussion on issues concerning the development of Artificial Transportation Systems and Simulation as a means to devise, test and validate ITS-based technologies.
Goal
- Agent-based modelling and social simulation in MAS-T (multi-agent systems applied to traffic and transportation)
- Real-world agent architectures
- Hardware-, software-, and human-in-the-loop simulation
- Agent-human interactions
- Environment modelling and interaction protocols (normative environments, negotiation, etc.)
- Learning and adaptation, collaboration, cooperation, competition, coalitions in traffic and transportation models
- Multi-resolution simulation, simulator interoperability, simulation as a service, cloud-based simulation
- Growing artificial societies in artificial transportation systems
- Large scale simulation, calibration and validation of agent-based models for large traffic and transportation networks
- New trends and inspirational metaphors for artificial transportation systems and simulation.
Committee Activities
- Coming soon
Activities Report 2023
- Coming soon
Committee Members
- Alberto Fernandez, URJC, Spain
- Cristina Olaverri-Monreal, UAS Technikum Wien, Austria
- Deborah Perrotta, U. Minho, Portugal
- Fei-yue Wang, Institute of Automation – CAS, China
- Fenghua Zhu, Institute of Automation – CAS, China
- Guilherme Soares, U. Porto, Portugal
- Henry Liu, U. Michigan, USA
- Joel Gonçalves, TU Munich, Germany
- José Macedo, U. Porto, Portugal
- Lígia Pereira, U. Porto, Portugal
- Ronghui Liu, U. Leeds, UK
- Rosaldo Rossetti, U. Porto, Portugal
- Shuming Tang, Institute of Automation – CAS, China
- Zafeiris Kokkinogenis, U. Porto, Portugal
