使用委托MultiAgent系统维护分布式共生关系

Rutger Claes, T. Holvoet
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引用次数: 9

摘要

在线交通模拟可以通过预测拥堵等问题来辅助路线引导系统。准确的预测需要准确的车辆状态信息——车辆分布在大规模的道路基础设施上,这一事实使这一预测尤其具有挑战性。将在线仿真嵌入到道路基础设施中——通过将其分布在道路旁的计算基础设施中——是一种部分解决方案,但也增加了在线仿真与物理系统之间共生关系的额外复杂性。在本文中,我们描述了一种使用委托多代理系统来降低这种共生关系复杂性的方法。在路由引导机制原型实现中的实验结果表明,该方法是可行的,并且产生了一种具有优于当前实践状态的非主动路由机制的潜在的主动路由引导机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maintaining a distributed symbiotic relationship using delegate MultiAgent systems
Online simulation of traffic can assist route guidance systems by predicting problems such as congestion. Accurate predictions require accurate status information about vehicles - the fact that the vehicles are distributed over large-scale road infrastructure makes this particularly challenging. Embedding the online simulation in the road infrastructure - by distributing it across road side computing infrastructure - is a partial solution, but also adds additional complexity to the symbiotic relationship between online simulation and the physical system. In this paper we describe an approach that uses delegate MultiAgent Systems to reduce the complexity of such symbiotic relationships. Experimental results in a prototype implementation of the route guidance mechanisms show that the approach is feasible and leads to a proactive route guidance mechanisms with the potential of outperforming current state of the practice non-proactive routing mechanisms.
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