DocumentCode
3563943
Title
Long term estimation of traffic demand on urban expressway by neural networks
Author
Akiyama, Takamasa ; Inokuchi, Hiroaki
Author_Institution
Dept. of Civil, Environ. & Appl. Syst. Eng., Kansai Univ., Suita, Japan
fYear
2014
Firstpage
185
Lastpage
189
Abstract
The traffic demand estimation should be required to determine the expressway management in terms of construction cost redemption planning. Time series traffic demand of urban expressway as well as revenue of toll should be estimated by neural networks to determine the proper future tendency of traffic demand of the area. The proper redemption schedule can be discussed from the estimation results.
Keywords
costing; neural nets; road pricing (tolls); time series; traffic engineering computing; construction cost redemption planning; neural networks; time series traffic demand; toll revenue; traffic demand long term estimation; urban expressway management; Biological neural networks; Economic indicators; Estimation; Sociology; Time series analysis; long term estimation; neural network; traffic demand; urban expressway;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
Type
conf
DOI
10.1109/SCIS-ISIS.2014.7044899
Filename
7044899
Link To Document