Artificial intelligence will play a major role in the future of transportation. Vehicles are increasingly connected through the Internet of Vehicles and becoming increasingly autonomous. From routing and intersection management to multi-modal transportation and autonomous vehicles, this will change the way we use limited resources such as roads and vehicles, as well as public transportation. At the same time, it is important that the human stays in the loop when automated decisions are made, posing additional challenges as how to best design the interaction between the human and the intelligent system and how to elicit user preferences to best make decisions on their behalf. Moreover, it will be vital that ethical aspects and incentives are considered, so that humans can trust the system, e.g., in terms of the private data being used and making micro decisions on the user’s behalf such as routing decisions and platooning (in case of autonomous vehicles).
This workshop aims to bring together researchers and practitioners from a range of areas within AI around the transportation domain, including areas such as machine learning, multi-agent systems, human-agent interaction, as well as ethical aspects of AI.
We invite long and short papers. Short papers are mainly intended to be work in progress and application papers. We especially encourage industry to apply for these. Long papers are up to 14 pages in Springer lecture notes format, and will get peer-reviewed. Accepted papers will receive a long presentation slot. Short papers are up to 4 pages, and will be mainly assessed on the basis of their relevance to the workshop. They will receive a short presentation slot and the opportunity to present a poster.
Topic include but are not limited to:
The IJCAI-PRICAI Conference has been postponed to January. As a result there will be new deadlines for the workshops. As soon as new deadlines are decided, the website will be updated.
Submission: https://cmt3.research.microsoft.com/AICOMO2020
Papers should be formatted using Springer lecture notes format. For templates see:
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
Long papers should be up to 14 pages. Short papers can be up to 4 pages.
Enrico Gerding, University of Southampton, UK
Sebastian Stein, University of Southampton, UK
Dengji Zhao, ShanghaiTech University, China
Tatsuya Iwase, Toyota Motor Europe NV/SA
Contact: Enrico Gerding at eg@ecs.soton.ac.uk
Ana Bazzan, Universidade Federal do Rio Grande do Sul, Brazil
Anh Tuan, University of Warwick, UK
Atsushi, Kawamoto, Toyota Motor Corporation, Japan
Bo An, Nanyang Technological University, Singapore
Dan Fowler, University of Warwick, UK
Emmanouil Rigas, Aristotle University of Thessaloniki, Greece
Hu Yuan, University of Warwick, UK
Huan Vu, Universite de Lyon, France
Karthik Abinav Sankararaman, Facebook
Mathijs de Weerdt, Delft University of Technology, the Netherlands
Phuriwat (Turk) Worrawichaipat, University of Southampton, UK
Shih-Fen Cheng, Singapore Management University, Singapore
Sylwia Kaduk, University of Southampton, UK
Taiki Todo, Kyushu University, Japan
Valentin Robu, Heriot-Watt University, UK
Prof m.c. schraefel, University of Southampton, UK
Prof Carsten Maple, Warwick Manufacturing Group (WMG), The University of Warwick, UK
TBC