VEHICLE'S VELOCITY TIME SERIES PREDICTION USING NEURAL NETWORK

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FOTOUHI ABAS; MONTAZERI MORTEZA; JANATIPOUR MOSTAFA

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Journal Paper

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Journal: Automotive Science and Engineering Year:2011 | Volume:1 | Issue:1 Page(s): 21-28

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Title

VEHICLE'S VELOCITY TIME SERIES PREDICTION USING NEURAL NETWORK

Author(s)

FOTOUHI ABAS | MONTAZERI MORTEZA | JANATIPOUR MOSTAFA

Keywords

VEHICLE

VELOCITY

TIME SERIES

PREDICTION

NEURAL NETWORKS

Abstract

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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APA: Copy

FOTOUHI, ABAS, MONTAZERI, MORTEZA, & JANATIPOUR, MOSTAFA. (2011). VEHICLE'S VELOCITY TIME SERIES PREDICTION USING NEURAL NETWORK. AUTOMOTIVE SCIENCE AND ENGINEERING (INTERNATIONAL JOURNAL OF AUTOMOTIVE ENGINEERING), 1(1), 21-28. SID. https://sid.ir/paper/321702/en

Vancouver: Copy

FOTOUHI ABAS, MONTAZERI MORTEZA, JANATIPOUR MOSTAFA. VEHICLE'S VELOCITY TIME SERIES PREDICTION USING NEURAL NETWORK. AUTOMOTIVE SCIENCE AND ENGINEERING (INTERNATIONAL JOURNAL OF AUTOMOTIVE ENGINEERING)[Internet]. 2011;1(1):21-28. Available from: https://sid.ir/paper/321702/en

IEEE: Copy

ABAS FOTOUHI, MORTEZA MONTAZERI, and MOSTAFA JANATIPOUR, “VEHICLE'S VELOCITY TIME SERIES PREDICTION USING NEURAL NETWORK,” AUTOMOTIVE SCIENCE AND ENGINEERING (INTERNATIONAL JOURNAL OF AUTOMOTIVE ENGINEERING), vol. 1, no. 1, pp. 21–28, 2011, [Online]. Available: https://sid.ir/paper/321702/en

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