.png){kind=icon}
返回
Urban Traffic Flow Prediction System Using a Multifactor Pattern Recognition Model
.png){kind=icon}
PRE
AI
DOI：10.1109/TITS.2015.2419614.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Current urban traffic congestion costs are increasing on account of the population growth of cities and increasing numbers of vehicles. Many cities are adopting intelligent transportation systems (ITSs) to improve traffic efficiency. ITSs can be used for monitoring traffic congestion using detectors, such as calculating an estimated time of arrival or suggesting a detour route. In this paper, we propose an urban traffic flow prediction system using a multifactor pattern recognition model, which combines Gaussian mixture model clustering with an artificial neural network. This system forecasts traffic flow by combining road geographical factors and environmental factors with traffic flow properties from ITS detectors. Experimental results demonstrate that the proposed model produces more reliable predictions compared with existing methods.
Keyword:
Intelligent transportation system (ITS)
traffic flow prediction
pattern recognition
artificial neural network (ANN)
Gaussian mixture model (GMM) clustering
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
8.4
论文数:
9.7K
被引数:
6.3W
机构
引用论文
.png){kind=icon}
分享收藏
Spectroscopic Study of Aqueous H2SO4 at Different Temperatures and Compositions: Variations in Dissociation and Optical Properties在不同温度和组成下对水溶液H2SO4 的光谱研究: 解离和光学性质的变化
PREAI
分享收藏POP-TRAFFIC: A novel fuzzy neural, approach to road traffic analysis and predictionPOP-TRAFFIC: 一种新颖的模糊神经道路交通分析和预测方法
PREAI
分享收藏A Study on Hepatitis Disease Diagnosis Using Multilayer Neural Network with Levenberg Marquardt Training Algorithm基于Levenberg Marquardt训练算法的多层神经网络在肝炎疾病诊断中的应用研究
PREAI
分享收藏Effect of enhanced ultraviolet-B radiation on pollen germination and tube growth of 19 taxa in vitro
PREAI
分享收藏
查看更多内容