| 基于模糊神经网络的实时路段行程时间估计 |
| |
| 引用本文： | 初连禹,杨兆升.基于模糊神经网络的实时路段行程时间估计[J].系统工程理论与实践,2000,20(11):111-116. |
| |
| 作者姓名： | 初连禹 杨兆升 |
| |
| 作者单位： | 吉林工业大学交通学院 |
| |
| 摘 要： | 基于对我国城市交通流的物性分析 ,提出了一种基于模糊神经网络的实时路段行程时间估计模型 ,用于将来自于交通控制中心的实时交通数据转换成为能够反映路段实时运行状况的直观参数 :路段行程时间 ,从而为交通流诱导服务 .这种方法用具有更高智能的神经网络实现了对抽象模糊规则的自动纠错的记忆 ,符合人类认识的模式 ,能令人满意地表达经验知识 ,而且模糊输入输出关系具有了明确的表达能力 .
|
| 关 键 词： | 交通流特性 模糊神经网络 路段行程时间估计 |
| 修稿时间： | 1999-04-21 |
Real-time Link Travel Time Estimation Based on Fuzzy Neural Network |
| |
| CHU Lian-yu,YANG Zhao-sheng.Real-time Link Travel Time Estimation Based on Fuzzy Neural Network[J].Systems Engineering —Theory & Practice,2000,20(11):111-116. |
| |
| Authors: | CHU Lian-yu YANG Zhao-sheng |
| |
| Institution: | College of Transportation,Jilin University of Technology |
| |
| Abstract: | The objective of Urban Traffic Flow Guidance System (UTFGS) is to reduce the influence of traffic congestion, incidents on users and provide them the optimal route. With respect to the analysis of traffic flow characteristics in urban areas of China and the deficiency of fuzzy logic in dealing with experience knowledge, a real-time link travel times estimation model based on fuzzy neural network is proposed in order to convert traffic data from TMC to link trave time. The model has clear relationship betwe... |
| |
| Keywords: | traffic flow characteristics fuzzy neural network link travel time estimation |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《系统工程理论与实践》浏览原始摘要信息 |
| 点击此处可从《系统工程理论与实践》下载免费的PDF全文 |
