Bee-Inpired Road Traffic Control as an Example of Swarm Intelligence in Cyber-Physical Systems

Sebastian Senge, H. Wedde
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引用次数: 8

Abstract

Physical parts of a system to interacting software components. In many cyber-physical systems considered nowadays, the system's parts form a network structure with concurrent entities and the need of seamless scaling and fault-tolerant information dissemination and decentralized methods. In this contribution we point out that swarm intelligence approaches may be well suited for CPS with networked components. As an example, we present our self-adaptive and distributed vehicle route guidance approach, termed BeeJamA, which provides drivers safely with routing directions well before each intersection. Our approach is based on a multi-agent system which is inspired by the honey bee behavior and relies on a decentralized vehicle-to-infrastructure architecture.
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以蜂群智能为例的网络物理系统道路交通控制
系统的物理部分到交互的软件组件。在当今所考虑的许多网络物理系统中,系统各部分形成了具有并发实体的网络结构,需要无缝扩展和容错信息传播和分散方法。在这篇文章中,我们指出群体智能方法可能非常适合具有网络组件的CPS。作为一个例子,我们提出了一种自适应分布式车辆路线引导方法,称为BeeJamA,它可以在每个十字路口之前安全地为驾驶员提供路线方向。我们的方法基于多智能体系统,该系统的灵感来自蜜蜂的行为,并依赖于分散的车辆到基础设施架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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