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
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;
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
DOI :
10.1109/SCIS-ISIS.2014.7044899
