Abstract
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.
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References
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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)
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Schaefer, M., Vokrinek, J. (2015). Developing Agent-Based Driver Assistance Systems Using AgentDrive. In: Demazeau, Y., Decker, K., Bajo Pérez, J., de la Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection. PAAMS 2015. Lecture Notes in Computer Science(), vol 9086. Springer, Cham. https://doi.org/10.1007/978-3-319-18944-4_35
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DOI: https://doi.org/10.1007/978-3-319-18944-4_35
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