Description:
本文在分析城市交通信号控制研究现状和交叉口交通信号控制原理、评价方
法的基础上，设计了单交叉口交通信号两级模糊控制系统。分级模糊控制能有效
减少模糊规则数，易于提取模糊规则，适合于交通状况复杂的城市交叉口交通信
号控制。但它存在难以由人工合理定义全部模糊隶属度函数的问题。为此本文进
一步采用遗传算法对两级模糊控制器中模糊隶属度函数进行优化。本文提出的方
法具有分级模糊控制的优点，同时可以使模糊隶属度的选取更为合理，获得更好
的控制效果。对一个四相位单交叉口，利用MATLAB在不同的交通条件下进行
了仿真，并利用交通仿真软件PARAMICS进行了可视化仿真。仿真结果表明该
方法能有效降低通行车辆在交叉口的平均等待时间，明显优于传统控制方法-After analyzing the city-traffic developments,the grade crossings control theory
its method of evaluation,the paper designs a traffic signal two-stage fuzzy control
tem for single intersection.Two-stage fuzzy controller,which is easy to acquire
zy rules and can greatly decrease the number of fuzzy rules,is very suitable to
plex urban intersection control.But it still presents a difficulty for deciding all the
bership functions correctly only by human experience.Therefor,to solve this
blem,a technique using genetic algorithm to modify its fuzzy membership
ctions is proposed.This method not only possesses the advantages of hierarchical
zy control,but also can change its membership functions adaptively to an optimal
ing in different traffic situations as well,and in this way the currency power of the
an intersection is improved.For a single urban intersection with four-phase,
ulation of different traffic condition is processed by using MATLAB.Moreover,
ble simulation is proce Platform: |
Size: 312320 |
Author:刚子 |
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Description: 利用matlab实现交通灯模糊控制控制系统的仿真-Using matlab realize the traffic light control system Fuzzy Control Simulation Platform: |
Size: 1024 |
Author:凡良玉 |
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Description: 基于模糊逻辑工具箱的高速公路匝道控制
匝道控制有关的许多概念都具有模糊性，如交通状况(畅通、饱和、拥挤、堵塞等)、匝道排队长度、流量大小、车流稳定性等。本文用MATLAB模糊逻辑工具箱设计高速公路入口匝道控制器，并进行了仿真研究。-Freeway Ramp Control Based on Fuzzy Logic Toolbox
Many of the concepts related to ramp control are ambiguous, such as traffic conditions (traffic, saturation, congestion, congestion, etc.), ramp length, traffic size, traffic flow stability. In this paper, MATLAB fuzzy logic toolbox design of the highway ramp controller, and the simulation study. Platform: |
Size: 204800 |
Author:戴媛媛 |
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Description: 采用了欧氏距离和模糊算法两种方式进行了FCM聚类分析，利用FCM聚类分析解决了交通状况的判别算法，文件里面还有相关文献！(Using Euclidean distance and fuzzy algorithm, FCM clustering analysis is used to solve the traffic situation.) Platform: |
Size: 15461376 |
Author:多尔衮 |
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