BP Neural Network Model for Short-time Traffic Flow Forecasting Based on Transformed Grey Wolf Optimizer Algorithm

被引：0

作者：

Zhang W.-S. ^{[1
,2
]}

Hao Z.-Q. ^{[1
]}

Zhu J.-J. ^{[3
]}

Du T.-T. ^{[4
]}

Hao H.-M. ^{[5
]}

机构：

[1] School of Traffic and Transportation, Shijiazhuang Tiedao University, Shijiazhuang

[2] Traffic Safety and Control Laboratory of Hebei Province, Shijiazhuang

[3] Hebei Provincial Communications Planning and Design Institute, Shijiazhuang

[4] Tianjin Rail Transit Operation Group Co. Ltd, Tianjin

[5] Shijiazhuang Transportation Management Office, Shijiazhuang

来源：

Du, Tian-Tian (dtthy1219@163.com) | 1600年 / Science Press卷 / 20期

关键词：

BP neural network; Convergence factor; Inertial weight; Intelligent transportation; Short-time traffic flow forecast; Transformed grey wolf optimizer algorithm(TGWO);

D O I：

10.16097/j.cnki.1009-6744.2020.02.029

中图分类号：

学科分类号：

摘要：

Accurate short-time traffic flow forecasting is the basis of traffic control and traffic induction. In this paper, a short time traffic flow forecasting model (TGWO-BP) is proposed based on transformed grey wolf optimizer algorithm (TGWO) and BP neural network, which can effectively improve the accuracy of short-time traffic flow forecast. Firstly, due to the drawbacks that the standard gray wolf algorithm converges slowly and tends to fall into the local extremum, an adaptive decreasing convergence factor is proposed, so that the grey wolf algorithm can distinguish the global search from the local search. Secondly, the position renewal formula of the gray wolf individual is improved by introducing the inertial weight. By adjusting the size of the inertial weight, the grey wolf algorithm has the ability to jump out of the local extremum. Finally, four short-time traffic flow forecasting models of TGWO-BP, GWO-BP, PSO-BP and BP are constructed, and the results show that the error of the short-time traffic flow forecasting model of TGWO-BP is 10.03%, and the accuracy of the prediction is better. Copyright © 2020 by Science Press.

引用

页码：196 / 203

页数：7

共 9 条

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