Our workshop is motivated by the increasing modelling and adoption of autonomous multi-agents into road, rail and air transportation systems where safety and reliability are of paramount importance. The coexistence and collaboration of human and AI agents within a multi-agent system present unique challenges and opportunities, transforming the traditional paradigms of how agents interact.

 The central premise of this workshop is to acknowledge humans as integral components of multi-agent systems, where they are considered autonomous agents in their right. This paradigm shift recognizes that human decision-making and interactions within multi-agent systems can significantly impact the system's performance and behavior. Moreover, it embraces the idea that humans, working alongside AI agents, can collectively contribute to more effective, adaptable, and robust multi-agent transportation systems.

Primary goals of this workshop

  • Problem Exploration: Identify and discuss key technical issues and challenges in the context of autonomous multi-agents, including human-AI hybrid systems, in transportation.

  • Knowledge Exchange: Facilitate the exchange of knowledge and expertise related to multi-agent solutions for safety-critical transportation problems, with a specific focus on human-AI collaboration. Our primary aim is to foster collaborations between AI researchers, and aviation/transportation researchers.

  • Collaboration: Foster collaboration and networking among researchers, practitioners, and industry experts dedicated to safety-critical multi-agent transportation. Student researchers might particularly benefit from discussions with experts during the workshop.


Call For Papers

Important Dates

Submission deadline: February 12, 2024

Authors Notification: March 4, 2024

MASTP 2024 Workshop: May 6 - 7, 2024

The MASTP workshop at the 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2024), shall address critical issues and emerging trends in the design, implementation, and evaluation of human-AI hybrid multi-agent systems, with an emphasis on safety. We will delve into areas such as collaborative decision-making, trust and transparency in human-agent interactions, adaptive learning mechanisms, and ethical considerations for autonomous agents operating alongside humans. By promoting interdisciplinary discussions and knowledge exchange, we aim to bridge the gap between traditional agent-based systems and the next generation of human-AI hybrid multi-agent systems.


This workshop seeks to attract papers which address issues, including but not limited to:

  • Safety risk assessment of autonomous and multi-agent transportation systems.

  • Cooperative and adaptive strategies for collision-free navigation in complex traffic environments.

  • Decision-making and coordination for adherence to schedules.

  • Human-AI Hybrid systems and related challenges pertaining to interactions, trust, reliability etc.

We encourage both mature research and work in progress. The evaluation criteria of contributions will be based on originality, quality, clarity, and its relevance to the workshop. Further, we require authors to discuss and/or analyze of the safety-critical aspects of the their proposed methodology.  

Target Audience

This workshop will provide an invaluable opportunity for cross-disciplinary learning, collaboration, and the advancement of knowledge in the domain of safety-critical transportation problems. The workshop is of interest to a wide audience, including:

  • Researchers and academics focused on multi-agent systems, safety, and transportation.

  • Transportation industry professionals seeking insights into autonomous and safety-critical technologies.

  • Policymakers and regulatory authorities involved in shaping safety standards for autonomous transportation.

Submission Guidelines

Participants are invited to submit a short paper (4-6 pages, plus one page for references, Springer LNCS format) describing their work on one or more of the topics relevant to the workshop. Your paper should include a title as well as all authors and affiliations. It should articulate the objectives of the paper and provide a brief, but thorough description of the research related to the theme of the workshop. Optionally, you may include an appendix that does not count towards the page limit. 

Authors are requested to prepare their submissions by following the LNCS Springer format, preferably using the LaTeX template provided, but an MS Word template is also available. All submissions to the workshop will be reviewed by the organising committee and the program committee, with at least two independent reviews per paper.  

Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will attend the workshop to present the work. Authors of selected papers shall be invited to submit a revised and extended version of their papers for consideration to be published potentially in a high impact journal (TBC).

All papers must be submitted through the workshop's EasyChair page below.

Program Committee Members

Prof. Hussein Abbass, University of New South Wales.

Prof. Sameer Alam, Nanyang Technological University.

Dr. Hasnain Ali, Nanyang Technological University.

Prof. Henk Blom, TU Delft.

Prof. Daniel Delahaye, French Civil Aviation University (ENAC).

Prof. Nicolas Durand, French Civil Aviation University (ENAC).

Prof. Sim Kuan Goh, Xiamen University Malaysia.

Prof. Eri Itoh, Univeristy of Tokyo.

Prof. Max Li, University of Michigan.

Dr. Yixiang Lim, A*STAR Singapore

Dr. Duc-Thinh Pham, Nanyang Technological University.

Prof. Michael Schultz, University of Bundeswehr Munich.

Contact: [email protected] 

Organizing Committee Members

Dr. Hasnain Ali, Nanyang Technological University.

Prof. Sim Kuan Goh, Xiamen University Malaysia.

Prof. Max Li, University of Michigan.

Dr. Yixiang Lim, A*STAR Singapore.

Dr. Duc-Thinh Pham, Nanyang Technological University.

Contact: [email protected]