Developing Agent-Based Driver Assistance Systems Using AgentDrive
We demonstrate how AgentDrive platform can be used to develop agent-based driver assistance systems. We expect that new V2X technologies penetrating automotive industry can lead to more sophisticated coordination mechanisms among road vehicles. Driver assistance system that is enabled to communicate with other vehicles promises safer and more efficient future of road traffic. AgentDrive allows to prototype agent-based coordination mechanisms. The developer using our platform is provided with a tool to prepare realistic simulation scenarios. The scenarios are based on real world data generated from OpenStreetMap. The development of the sophisticated multi-agent coordination algorithms is supported by possibility to evaluate the algorithms in arbitrary level of simulation detail. Human-in-the-loop simulation is enabled by integrating a driving simulator. Developers are empowered to challenge multi-agent coordination algorithms by the presence of a human driver in the control loop.
KeywordsMulti-agent simulation Autonomous vehicles coordination Integrated drive and traffic simulation Advanced driver assistance system
Unable to display preview. Download preview PDF.
- 1.Schaefer, M.: Collision Avoidance of Highway Traffic, Czech Technical University in Prague (2014)Google Scholar
- 2.Schaefer, M., Vokrinek, J.: AgentDrive: towards an agent-based coordination of intelligent cars. In: Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability. The PAAMS Collection (2015)Google Scholar
- 3.Vokrinek, J., Janovsky, P., Faigl, J., Benda, P., Tango, F., Pinotti, D.: A cooperative driver model for traffic simulations. In: 2013 11th IEEE International Conference on Industrial Informatics (INDIN), pp. 756–761, July 2013Google Scholar
- 4.Vokrinek, J., Schaefer, M., Pinotti, D.: Multi-agent traffic simulation for human-in-the-loop cooperative drive systems testing. In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems. International Foundation for Autonomous Agents and Multiagent Systems, pp. 1691–1692 (2014)Google Scholar