دوره 1، شماره 1 - ( 10-1389 )
جلد 1 شماره 1 صفحات 28-21 |
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Fotouhi A, Montazeri M, Jannatipour M. Vehicle's velocity time series prediction using neural network. ASE 2011; 1 (1) :21-28
URL: http://www.iust.ac.ir/ijae/article-1-8-fa.html
URL: http://www.iust.ac.ir/ijae/article-1-8-fa.html
Vehicle's velocity time series prediction using neural network. Automotive Science and Engineering. 1389; 1 (1) :21-28
چکیده: (25816 مشاهده)
This paper presents the prediction of vehicle's velocity time series using neural networks. For this purpose, driving data is firstly collected in real world traffic conditions in the city of Tehran using advance vehicle location devices installed on private cars. A multi-layer perceptron network is then designed for driving time series forecasting. In addition, the results of this study are compared with the auto regressive (AR) method. The least root mean square error (RMSE) and median absolute percentage error (MDAPE) are utilized as two criteria for evaluation of predictions accuracy. The results demonstrate the effectiveness of the proposed approach for prediction of driving data time series.
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