AgentDrive: Agent-Based Simulator for Intelligent Cars and Its Application for Development of a Lane-Changing Assistant
作者： Martin Schaefer , Michal Čáp , Jiří Vokřínek
DOI: 10.1007/978-3-319-46331-5_7
关键词:
摘要: Intelligent cars represent a promising technology expected to drastically improve safety and efficiency of automobile transportation. In this paper, we introduce an agent-based simulation platform AgentDrive argue that it can be used speed up the development evaluation new coordination algorithms for intelligent cars. We present high-level architecture simulator characterize class tasks which is tool best suited. addition, case study being lane-changing assistant technology. describe developed solution in detail benchmark result, were obtained using simulator, demonstrate coordinated lane changing enables safer swifter then traditional non-coordinated approach.
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