Research on prediction of urban congestion based on radial basis function network

doi:10.4399/978882553186215

	Research on prediction of urban congestion based on radial basis function network
	Guo, Y.R.; Wang, X.M.; Wang, M.; Zhang, H.
刊名	Advances in Transportation Studies
	2020
卷号	1 期号:Special Issue 页码:145-156
关键词	Analytic hierarchy process Complex networks Forecasting Function evaluation Functions Motor transportation Radial basis function networks Analytic hierarchy process (ahp) Complex parameter Evaluation indicators Intelligent traffics Prediction accuracy Urban traffic congestion Weight determination Weighted averages
ISSN号	18245463
DOI	10.4399/978882553186215
英文摘要	There are many indicators in the prediction of intelligent traffic congestion, and the process of weight determination is complex, which results in poor accuracy. Based on radial basis function (RBF) network, this paper proposes a method to predict urban congestion. The ability of RBF network to analyze complex parameters is used to collect multi parameter indicators of urban traffic. The multi parameter indicators are used to select the evaluation indicators of urban congestion conditions, and the weights of different evaluation indicators of urban traffic congestion are determined under the analytic hierarchy process (AHP). The grade of urban traffic conditions is divided according to the importance of the indicators, and the urban congestion conditions are predicted according to the weighted average results of each indicator. The experimental results show that under the condition of reasonable distribution of multi parameter weights, the prediction accuracy is about 90%, and the accuracy is improved obviously. © 2020, Gioacchino Onorati Editore. All rights reserved.
语种	英语
出版者	Aracne Editrice
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/115201]
专题	计算机与通信学院
作者单位	School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Guo, Y.R.,Wang, X.M.,Wang, M.,et al. Research on prediction of urban congestion based on radial basis function network[J]. Advances in Transportation Studies,2020,1(Special Issue):145-156.
APA	Guo, Y.R.,Wang, X.M.,Wang, M.,&Zhang, H..(2020).Research on prediction of urban congestion based on radial basis function network.Advances in Transportation Studies,1(Special Issue),145-156.
MLA	Guo, Y.R.,et al."Research on prediction of urban congestion based on radial basis function network".Advances in Transportation Studies 1.Special Issue(2020):145-156.