基于agent的交通管理云计算系统

J. Vaščák, Jakub Hvizdo, Michal Puheim
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引用次数: 14

摘要

对安全和经济高效交通的需求对建立交通管理系统提出了挑战。本文将基于云的技术、基于agent的方法和模糊认知地图三个基本概念融合在一起,以独立agent的形式解决多辆不同类型车辆的定位和路径规划问题,这些车辆与位于云上的监控系统进行通信。所提出的系统在一个操场上进行了直接测试,并使用几个选定的标准分析了所获得的结果。最后,对该技术的潜在利用和未来的研究进行了展望。
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Agent-Based Cloud Computing Systems for Traffic Management
The need for a safe and economically efficient traffic represents a challenge for creating traffic management systems. This paper deals with merging three basic concepts, namely cloud-based technologies, agent-based approaches and fuzzy cognitive maps to solve the localisation and path planing for several vehicles of different types in the form of independent agents, which communicate with a supervisory system located on the cloud. The proposed system was directly tested on a playground and obtained results were analysed using several selected criteria. Finally, some further possibilities of potential utilization and future research are mentioned.
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