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摘 要
近年来,由于高速公路交通流量迅速增加,特别是节假日出行高峰期,交通堵塞现象已经习以为常,如何采用合理的控制方法解决高速公路交通问题显得尤为关键。入口匝道控制被认为是一种避免高速路拥堵的有效途径。本论文基于元胞传输模型,设计了小脑模型关节控制器,合理控制驶进高速路的车辆数。首先分析了入口匝道控制原理和控制算法。其次研究了小脑模型控制算法,介绍了高速公路交通流模型并建立了描述交通流动态变化的元胞传输模型,紧接着给出了小脑模型关节控制器与PID控制器的并行控制设计,保证系统稳定和响应速度。最后用MATLAB软件进行了系统仿真,仿真的结果显示,该控制器具有良好自适应力,可以对高速公路入口匝道进行有效控制,缓解道路拥挤,提高道路主线的通行能力。
关键词 高速公路;入口匝道控制;元胞传输模型;小脑模型关节控制器
Abstract
In recent years,especially during the peak times of holidays, the phenomena of traffic congestion on urban freeway are becoming more and more familiar since the traffic volume of freeway has increased promptly, which makes it urgent and significant to apply efficient control approaches to solve the problems of freeway traffic. On-ramp control is considered as an effective way to relieve traffic congestion on urban freeway and has been used for traffic control on the freeway. In this paper, based on cell transmission model, cerebellar model articulation controller is designed to rationally control the number of vehicles that entering the freeway. Firstly, it is a detailed introduction about principle and algorithm of freeway on-ramp control. Then, the algorithm of cerebellar model articulation controller is studied. Models of freeway traffic flow are introduced and cell transmission model to describe the evolution of freeway traffic flow is established .And the design of composite control of cerebellar model articulation controller and PID is proposed to increase the stability of the system and the response speed. Finally, the system simulation is carried out using MATLAB software. Simulation results show that the ramp controller is of perfect self-adaptive control properties. It can solve the traffic control problem effectively and alleviate traffic congestion and improve the freeway mainline capability.
Keywords freeway; on-ramp control; cell transmission model; cerebellar model articulation controller
目 录
TOC \o 1-3 \h \z \u 摘 要 I
Abstract II
第1章 绪论 1
1.1 研究背景 1
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