دوره 1، شماره 1 - ( 10-1389 )                   جلد 1 شماره 1 صفحات 21-28 | برگشت به فهرست نسخه ها


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Fotouhi A, Montazeri M, Jannatipour M. Vehicle's velocity time series prediction using neural network. IJAE. 2011; 1 (1) :21-28
URL: http://www.iust.ac.ir/ijae/article-1-8-fa.html
Vehicle's velocity time series prediction using neural network. مجله علمی پژوهشی مهندسی خودرو . 1389; 1 (1) :21-28

URL: http://www.iust.ac.ir/ijae/article-1-8-fa.html


چکیده:   (5025 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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نوع مطالعه: پژوهشي | موضوع مقاله: Environmentally friendly vehicles
دریافت: ۱۳۸۹/۹/۹

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