Dynamic Division about Traffic Control Sub-area Based on Back Propagation Neural Network

Author

Li, Chungui ; Xie, Ying ; Zhang, Honglei ; Yan, Xiang-Lei

Author_Institution

Dept. of Comput. Eng., Guangxi Univ. of Technol., Liuzhou, China

Volume

2

fYear

2010

fDate

26-28 Aug. 2010

Firstpage

22

Lastpage

25

Abstract

This paper, based on Back Propagation (BP) neural network, proposes a method to divide traffic control sub-area dynamically. Considering three factors - traffic flow, distance of intersections and cycle, it forecasts the coordinatability factor and divides traffic control sub-area. It provides the design of neural network structure, carrying on a simulation experiment with the help of MATLAB which shows that the method is feasible without establishing a precise mathematical model, and the calculation is simple and easy to do.

Keywords

backpropagation; mathematical analysis; neural nets; road traffic; traffic control; MATLAB; backpropagation neural network; mathematical model; traffic control subarea; traffic flow; Artificial neural networks; Mathematical model; Neurons; Roads; Traffic control; Training; Back Propagation neural network; coordinatability factor; dynamic division; traffic control sub-area;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2010 2nd International Conference on

Conference_Location

Nanjing, Jiangsu

Print_ISBN

978-1-4244-7869-9

Type

conf

DOI

10.1109/IHMSC.2010.104

Filename

5591093