WS07: Artificial Transportation Systems and Simulation (ATSS 2018)
( CFP )

Workshop Code: 1v2u3


  • Fenghua Zhu
    Institution/Address: Room 1104,Intelligent Building, NO.95 Zhongguancun East Road, Beijing China, 100190

  • Shuming Tang
    Institution/Address: Room 702,Automation Building, NO.95 Zhongguancun East Road, Beijing China, 100190

  • Rosaldo Rossetti
    Institution/Address: Faculty of Engineering, University of Porto, Department of Informatics Engineering, Rua Dr. Roberto Frias, S/N, 4200-465 Porto, PORTUGAL

Scope and Goals

The aim of the ATSS Workshop 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. With the ability to integrate different transportation models and solutions in a virtual environment, ATSS serve as an aid to support decisions made by engineers and practitioners in a controlled and safe manner. They also provide a natural ground where new approaches can be experimented while avoiding natural drawbacks of dealing directly with real critical domains, such as ITS. On the basis of theories and methodologies borrowed from a wide spectrum of disciplines, such as the Social Sciences, Cloud Computing, Artificial Intelligence and Multi-agent Systems, Virtual Reality and many others, many important issues arise which challenge and motivate researchers and practitioners from multidisciplinary fields, as well as different technical and scientific communities.

Topics of Interest

  • Agent-based modelling and simulation
  • Real-world agent architectures
  • Hardware-, software-, and human-in-the-loop simulation
  • Agent-human interactions
  • Environment modelling and interaction protocols
  • Learning and adaptation
  • Collaboration, cooperation, competition, coalitions in traffic and transportation models
  • Social and emergent behaviour in MAS-T (multi-agent systems applied to traffic and transport)
  • Multi-resolution simulation and simulator interoperability
  • Growing artificial societies in artificial transportation systems
  • Large scale simulation of agent-based traffic models
  • Data Mining and Data Analysis for Artificial Transportation Systems
  • Calibration and validation of agent-based models for traffic and transportation
  • New trends and inspirational metaphors for artificial transportation systems
  • Social transportation
  • Transportation knowledge automation