多智能体监测路网性能的现实测试平台

J. Vrancken, M. S. Soares
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引用次数: 5

摘要

本文介绍了一种道路网络监测方法。该方法有以下组成部分:一个多智能体分层监控系统,其中智能体是网络元素,如十字路口、道路段和路线;处理遗留传感器并将其异构数据流均匀化的软件工程技术;分布式卡尔曼滤波以减少传感器噪声;以及一个交通模拟模型,以帮助预测未来的交通状态并取代缺失的物理传感器。该方法为网络性能监控提供了一个真实的测试平台,可以测试各种智能体配置和各种分布式卡尔曼滤波方法。目前,仍然相当简单的监控配置已经在交通管理中投入使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A real-life test bed for multi-agent monitoring of road network performance
This paper describes an approach to road network monitoring. The approach has the following components: a multi-agent hierarchical monitoring system in which the agents are network elements, such as crossings, road segments and routes, software engineering techniques to handle legacy sensors and to homogenize their heterogeneous data streams, distributed Kalman filtering to reduce sensor noise and a traffic simulation model to help in predicting future traffic states and to replace missing physical sensors. The approach has resulted in a real-life test bed for network performance monitoring in which various configurations of agents and various ways of distributed Kalman filtering can be tested. The current, still rather simple monitoring configuration is already in operational use for traffic management.
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