Research Article
Traffic Density Identification based on Neural Network and Histogram
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 172 - Issue 9 |
| Published: Aug 2017 |
| Authors: Luong Anh Tuan Nguyen, Thi-Ngoc-Thanh Nguyen |
10.5120/ijca2017915202
|
Luong Anh Tuan Nguyen, Thi-Ngoc-Thanh Nguyen . Traffic Density Identification based on Neural Network and Histogram. International Journal of Computer Applications. 172, 9 (Aug 2017), 8-13. DOI=10.5120/ijca2017915202
@article{ 10.5120/ijca2017915202,
author = { Luong Anh Tuan Nguyen,Thi-Ngoc-Thanh Nguyen },
title = { Traffic Density Identification based on Neural Network and Histogram },
journal = { International Journal of Computer Applications },
year = { 2017 },
volume = { 172 },
number = { 9 },
pages = { 8-13 },
doi = { 10.5120/ijca2017915202 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A Luong Anh Tuan Nguyen
%A Thi-Ngoc-Thanh Nguyen
%T Traffic Density Identification based on Neural Network and Histogram%T
%J International Journal of Computer Applications
%V 172
%N 9
%P 8-13
%R 10.5120/ijca2017915202
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The traffic density identification will support the traffic problems such as intelligent traffic signal control, traffic planning, etc. This paper proposes a traffic density identification method based on histogram and neural network. The system model was designed and evaluated with the traffic image datasets of Ho Chi Minh city. The best identifying result can obtain 96%.
References
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