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Agent-Based Modeling of Sustainable Behaviors

Part of the series Understanding Complex Systems pp 143-165

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AgentDrive: Agent-Based Simulator for Intelligent Cars and Its Application for Development of a Lane-Changing Assistant

  • Martin SchaeferAffiliated withDepartment of Computer Science, Artificial Intelligence Center, Faculty of Electrical Engineering, Czech Technical University in Prague Email author 
  • , Michal ČápAffiliated withDepartment of Computer Science, Artificial Intelligence Center, Faculty of Electrical Engineering, Czech Technical University in Prague
  • , Jiří VokřínekAffiliated withDepartment of Computer Science, Artificial Intelligence Center, Faculty of Electrical Engineering, Czech Technical University in Prague

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Abstract

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 and argue that it can be used to speed up the development and evaluation of new coordination algorithms for intelligent cars. We present the high-level architecture of the simulator and characterize the class of tasks for which is the tool best suited. In addition, we present a case study of AgentDrive being used for development of a lane-changing assistant technology. We describe the developed solution in detail and present the benchmark result, which were obtained using AgentDrive simulator, that demonstrate that coordinated lane changing enables safer and swifter lane changing then the traditional non-coordinated approach.