AIM_TRUST

AIM_trust is a traffic simulator for the study of innovative design of intersection control protocol and trust framework. This program is based on the source code of AIM4.

Publications

• Mingxi Cheng, Chenzhong Yin, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, and Paul Bogdan. 2021. A General Trust Framework for Multi-Agent Systems. In Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS '21). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 332–340. (Link)

• Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, and Paul Bogdan. 2021. Trust-aware Control for Intelligent Transportation Systems. In 2021 IEEE Intelligent Vehicles Symposium (IV). IEEE Press, 377–384. (Link)

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• GUI simulator is included in the directory: /AIM_trust_simulator.
• Reinforcement learning agent is included in the directory: /Trust_PL_agent is our

Running Process

• run the ./Trust_RL_agent/train.py
• run the ./AIM_trust_simulator/src/main/java/aim4/Main.java
• GUI pop up and click start button

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Questions or Bugs?

You may send email to Junyao Zhang, Mingxi Cheng or raise an issue Github issue for any questions you may have or bugs that you find.

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Citation

@inproceedings{cheng2021general,
  title={A general trust framework for multi-agent systems},
  author={Cheng, Mingxi and Yin, Chenzhong and Zhang, Junyao and Nazarian, Shahin and Deshmukh, Jyotirmoy and Bogdan, Paul},
  booktitle={Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems},
  pages={332--340},
  year={2021}
}

@inproceedings{cheng2021trust,
  title={Trust-aware control for intelligent transportation systems},
  author={Cheng, Mingxi and Zhang, Junyao and Nazarian, Shahin and Deshmukh, Jyotirmoy and Bogdan, Paul},
  booktitle={2021 IEEE Intelligent Vehicles Symposium (IV)},
  pages={377--384},
  year={2021},
  organization={IEEE}
}