| 基于数学模型的短时交通流预测方法探讨 |
| |
| 引用本文： | 贺国光,李宇,马寿峰. 基于数学模型的短时交通流预测方法探讨[J]. 系统工程理论与实践, 2000, 20(12): 51-56. DOI: 10.12011/1000-6788(2000)12-51 |
| |
| 作者姓名： | 贺国光 李宇 马寿峰 |
| |
| 作者单位： | 天津大学管理学院 |
| |
| 摘 要： | 在概述交通流预测方法发展的基础上 ,重点介绍了三种基于确定的数学模型的短时交通流量预测方法 ,并针对其中一种模型提出了与神经网络相结合的改进方案.
|
| 关 键 词： | 短时交通流预测 自适应权重 神经网络 |
| 修稿时间： | 1999-05-04 |
Discussion on Short-Term Traffic Flow Forecasting Methods Based on Mathematical Models |
| |
| HE Guo-guang,LI Yu,MA Shou-feng. Discussion on Short-Term Traffic Flow Forecasting Methods Based on Mathematical Models[J]. Systems Engineering —Theory & Practice, 2000, 20(12): 51-56. DOI: 10.12011/1000-6788(2000)12-51 |
| |
| Authors: | HE Guo-guang LI Yu MA Shou-feng |
| |
| Affiliation: | School of Management,Tianjin University |
| |
| Abstract: | In this paper, the evolution of traffic flow forecasting methods is summarized firstly, three short-term traffic flow forecasting methods based upon concrete mathematical models are introduced emphatically. At the last, an improving approach associated neural network for one of them is presented. |
| |
| Keywords: | short-term traffic flow forecasting adaptive weighting neural network |
| 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》下载全文 |
