Resolving scheduling issues of the London Underground using a multi-agent system

R. Basra, K. Lu, P. Skobelev
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引用次数: 19

Abstract

We consider the scheduling issues for The London Underground (LU), which spans the entire city, and is a vast network of inter-related railway lines. By its very nature, it is a dynamic, complex and unpredictable environment; operating or being maintained 24 hours-a-day. This paper reports on an investigation into how a Multi-Agent System (MAS) may be used for resolving scheduling issues for LU. It is a previously unexplored domain. A prototype system MASLU is developed through the use of MAS technology, in an innovative and unique manner, with a view to resolving the London Undergrounds scheduling issues in real time.
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利用多主体系统解决伦敦地铁的调度问题
我们考虑了伦敦地铁(LU)的调度问题,它横跨整个城市,是一个巨大的相互关联的铁路线网络。就其本质而言,它是一个动态的、复杂的和不可预测的环境;全天24小时运行或维护的。本文报告了一项关于如何使用多智能体系统(MAS)来解决逻辑单元调度问题的研究。这是一个以前未开发的领域。通过使用MAS技术,以创新和独特的方式开发了一个原型系统MASLU,旨在实时解决伦敦地铁的调度问题。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
11
期刊介绍: Intelligent systems refer broadly to computer embedded or controlled systems, machines and devices that possess a certain degree of intelligence. IJISTA, a peer-reviewed double-blind refereed journal, publishes original papers featuring innovative and practical technologies related to the design and development of intelligent systems. Its coverage also includes papers on intelligent systems applications in areas such as manufacturing, bioengineering, agriculture, services, home automation and appliances, medical robots and robotic rehabilitations, space exploration, etc. Topics covered include: -Robotics and mechatronics technologies- Artificial intelligence and knowledge based systems technologies- Real-time computing and its algorithms- Embedded systems technologies- Actuators and sensors- Mico/nano technologies- Sensing and multiple sensor fusion- Machine vision, image processing, pattern recognition and speech recognition and synthesis- Motion/force sensing and control- Intelligent product design, configuration and evaluation- Real time learning and machine behaviours- Fault detection, fault analysis and diagnostics- Digital communications and mobile computing- CAD and object oriented simulations.
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