| 基于MFD的城市区域过饱和交通信号优化控制 |
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| 引用本文： | 刘小明, 唐少虎, 朱凤华, 陈兆盟. 基于MFD的城市区域过饱和交通信号优化控制. 自动化学报, 2017, 43(7): 1220-1233. doi: 10.16383/j.aas.2017.c160250 |
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| 作者姓名： | 刘小明 唐少虎 朱凤华 陈兆盟 |
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| 作者单位： | 1.城市道路交通智能控制技术北京市重点实验室 北京 100144;;2.北方工业大学电气与控制工程学院 北京 100144;;3.北京城市系统工程研究中心 北京 100035;;4.中国科学院自动化研究所 北京 100190 |
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| 基金项目： | 国家自然科学基金（61374191），国家科技支撑计划项目（2014BAG03 B01），长城学者计划（CIT&TCD20150301）资助 |
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| 摘 要： | 为了解决交通高峰时段城市区域路网过大的交通需求引起的路网通行效率下降以及区域内部交通流分布的异质性产生的道路资源浪费等问题.本文提出了基于区域路网固有属性宏观基本图（Macroscopic fundamental diagram，MFD）的过饱和区域控制优化模型，建立了边界控制信号和内部控制信号目标函数的双层规划优化，进一步设计了基于BP（Back propagation）神经网络的自适应动态规划（Adaptive dynamic programming，ADP）模型，对建立的双层规划区域交通信号进行求解，实例仿真结果验证了本文方法的有效性.通过本文的研究分析，对城市区域交通的需求管控、拥堵政策制定等城市区域交通管理具有一定的指导意义.
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| 关 键 词： | 区域交通信号优化 宏观基本图 双层规划 自适应动态规划 BP网络 |
| 收稿时间： | 2016-03-04 |
Urban Area Oversaturated Traffic Signal Optimization Control Based on MFD |
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| LIU Xiao-Ming, TANG Shao-Hu, ZHU Feng-Hua, CHEN Zhao-Meng. Urban Area Oversaturated Traffic Signal Optimization Control Based on MFD. ACTA AUTOMATICA SINICA, 2017, 43(7): 1220-1233. doi: 10.16383/j.aas.2017.c160250 |
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| Authors: | LIU Xiao-Ming TANG Shao-Hu ZHU Feng-Hua CHEN Zhao-Meng |
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| Affiliation: | 1. Beijing Key Laboratory of Urban Road Traffic Intelligent Technology, Beijing 100144;;2. College of Electrical and Control Engineering, North China University of Technology, Beijing 100144;;3. Beijing Research Center of Urban System Engineering, Beijing 100035;;4. Institute of Automation, Chinese Academy of Sciences, Beijing 100190 |
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| Abstract: | In order to solve traffic efficiency reduction of road network, which is caused by overlarge traffic demand of urban regions at peak hours, and resource waste of roads due to the heterogeneity of traffic distribution, this paper proposes an optimization model of control for oversaturated area based on inherent attributes macroscopic fundamental diagram (MFD) of regional road network, and builds up the bi-level programming optimization of objective function for boundary and internal signal control. Furthermore, an adaptive dynamic programming (ADP) model based on back propagation (BP) neural network is employed to solve the regional signal control of bi-level programming. Simulation results verify the validity of this method. The investigation of this paper has certain guidance for urban traffic management such as control and management of traffic demand, formulation of congestion policy, etc. |
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| Keywords: | Regional traffic signal optimization macroscopic fundamental diagram (MFD) bi-level programming adaptive dynamic programming (ADP) back propagation (BP) neural network |
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