Modeling Average Daily Traffic Volume using Neural Network-Wavelet Hybrid Method
Journal: Advances in Computer Science : an International Journal(ACSIJ) (Vol.3, No. 3)Publication Date: 2014-05-31
Authors : Shahin Shabani; Mahdi Motamedi sedeh;
Page : 54-62
Keywords : Neural network; prediction; wavelet transform; daily traffic volume; modeling;
Abstract
Forecasting traffic volume accurately and in a timely manner plays an important role to providing real-time traffic information, reducing congestion in pathways, and improving traffic safety. A combination of multi-layer back-propagation neural networks ( ...
Other Latest Articles
- Discovering Hot Topics On Social Network Based On Improving The Aging Theory
- Agricultural Market Information Services in Developing Countries: A Review
- New Regional Co-location Pattern Mining Method Using Fuzzy Definition of Neighborhood
- A Reliable and Hybrid Scheduling Algorithm based on Cost and Time Balancing for Computational Grid
- Lossy Color Image Compression Based on Singular Value Decomposition and GNU GZIP
Last modified: 2014-06-02 21:40:35