| 基于人工神经网络PID控制器的快速路出入口控制算法 |
| |
| 引用本文： | 占建云,李志恒,张毅.基于人工神经网络PID控制器的快速路出入口控制算法[J].系统仿真学报,2010,22(3). |
| |
| 作者姓名： | 占建云 李志恒 张毅 |
| |
| 作者单位： | 1. 清华大学自动化系,北京,100084;海南省委办公厅,海口,570203
2. 清华大学自动化系,北京,100084 |
| |
| 基金项目： | the National High Technology Research and Development Program of China (863 Program) (No.2006AA11Z208); National Program on Key Basic Research Project (973 Program)(No.2006CB705506) |
| |
| 摘 要： | 在考虑出口排队的情况下,建立了快速路出入口控制的数学模型,利用神经网络调节PID控制器的参数,达到出入口控制的最优化,并对北京三环路联想桥至蓟门桥路段进行了仿真分析,将仿真结果与传统的反馈控制算法ALINEA进行了比较。结果表明,在快速路处于非高峰时段,该算法能够维持主路的交通流密度在理想范围的同时,使出入口排队长度尽可能小,保证了交通参与者的公平性。
|
| 关 键 词： | 快速路 出入口控制 人工神经网络 PID控制 |
Freeway On/off-Ramp Control Algorithm Based on ANN-PID |
| |
| ZHAN Jian-yun,LI Zhi-heng,ZHANG Yi.Freeway On/off-Ramp Control Algorithm Based on ANN-PID[J].Journal of System Simulation,2010,22(3). |
| |
| Authors: | ZHAN Jian-yun LI Zhi-heng ZHANG Yi |
| |
| Institution: | ZHAN Jian-yun1,2,LI Zhi-heng1,ZHANG Yi1 (1. Department of Automation,Tsinghua University,Beijing 10084,China,2. The General Office of Hainan CPC Committee,Haikou 570203,China) |
| |
| Abstract: | The mathematical model of the ramp control is formulated. The control objective is to maintain the freeway operated at a desired traffic density and to diminish the queue length on/off the ramp as short as possible. Integrated with artificial neural network, PID control was applied to a section from Lenovo Bridge to Ji-Men Bridge at the 3th ring-freeway of Beijing by simulating. Simulation results have been compared with the classic feedback algorithm ALINEA method. The results show that this algorithm is e... |
| |
| Keywords: | urban freeway on/off-ramp metering artificial neural network PID control |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
