Developing Agent-Based Driver Assistance Systems Using AgentDrive

Conference paper

DOI: 10.1007/978-3-319-18944-4_35

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9086)
Cite this paper as:
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

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.

Keywords

Multi-agent simulation Autonomous vehicles coordination Integrated drive and traffic simulation Advanced driver assistance system 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Agent Technology Center, Department of Computer Science, Faculty of Electrical EngineeringCzech Technical University in PraguePragueCzech Republic

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