| 基于模式识别的短时交通流预测 |
| |
| 引用本文： | 高圣国.基于模式识别的短时交通流预测[J].公路,2011(9):159-162. |
| |
| 作者姓名： | 高圣国 |
| |
| 作者单位： | 上海工程技术大学管理学院 上海市201620 |
| |
| 基金项目： | 上海市科委科研计划项目,项目编号09220502900 |
| |
| 摘 要： | 实时准确可靠的短时交通流预测是智能运输系统的基础,有很多种方法被用来对交通流进行预测.基于模式识别的交通流预测方法是较新的预测方法之一.提出一个用于短时交通流预测的模式和对应的模式识别算法,并对城区道路的交通流做了实验预测,结果表明在趋势上较为准确.
|
| 关 键 词： | 交通流 模式识别 预测 |
Traffic Flow Short-term Forecasting Based on Pattern Recognition |
| |
| GAO Sheng-guo.Traffic Flow Short-term Forecasting Based on Pattern Recognition[J].Highway,2011(9):159-162. |
| |
| Authors: | GAO Sheng-guo |
| |
| Institution: | GAO Sheng-guo(School of Management,Shanghai University of Engineering and Technology,Shanghai 201620,China) |
| |
| Abstract: | Accurate and reliable real-time traffic flow forecasting is the basis for intelligent transport systems,a variety of methods have been used to predict traffic flow.Among them,traffic flow forecasting based on pattern recognition method is a relatively new forecasting method.In this paper,a short-term traffic flow prediction model and the corresponding pattern recognition algorithm are proposed,and the traffic flow prediction experiment results show that the trend is accurate. |
| |
| Keywords: | traffic flow pattern recognition forecast |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
