| 基于多Agent的城市快速路协调控制研究 |
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| 引用本文： | 范立权,陈阳舟,李振龙.基于多Agent的城市快速路协调控制研究[J].交通与计算机,2009,27(4):30-34. |
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| 作者姓名： | 范立权 陈阳舟 李振龙 |
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| 作者单位： | 北京工业大学电子信息与控制工程学院,北京,100124 |
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| 基金项目： | 国家自然科学基金项目，北京市自然科学基金项目 |
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| 摘 要： | 探讨了多Agent技术的特点及其应用，设计了基于多Agent的城市快速路控制系统的结构框架，包括区域协调Agent和控制Agent。并提出一种基于Q-学习的协调控制策略，实现Agent的学习功能。最后，通过微观交通仿真软件PARAMCIS对大望桥——四惠桥快速路交通区域建模，仿真结果表明结合Q-学习、模糊控制、仿真技术和信息诱导等方法的协调控制策略，可以在一定程度上改善整个快速路区域的交通状况。
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| 关 键 词： | 协调控制 多Agent技术 Q-学习 PARAMICS |
Urban Freeway Coordinated Control Based on Multi-Agent |
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| FAN Liquan,CHEN Yangzhou,LI Zhenlong.Urban Freeway Coordinated Control Based on Multi-Agent[J].Computer and Communications,2009,27(4):30-34. |
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| Authors: | FAN Liquan CHEN Yangzhou LI Zhenlong |
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| Institution: | School of Electronic Information and Control Engineering;Beijing University of Technology;Beijing 100124;China |
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| Abstract: | First,the characteristics of multi-Agent technology and its applications were discussed.Moreover,the structural framework of urban freeway control system was designed,which includes the control Agent and the regional coordination Agent.For implementation of the Agent's learning ability,a coordinated control strategy based on Q-learning was proposed.Finally,a freeway control system model of the Dawang-Sihui Bridge section was built via the microscopic traffic simulation software PARAMCIS.The results show tha... |
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| Keywords: | PARAMICS |
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