Traffic Flow Prediction Based on Combined Model of ARIMA and RBF Neural Network
Available Online June 2016.
- https://doi.org/10.2991/mecs-17.2017.14How to use a DOI?
- traffic engineering, traffic flow prediction, Combined Model, ARIMA model, RBF neural network model
- In this paper, a combined model of ARIMA and RBF neural network is proposed by combined the good linear fit ability of ARIMA and the strong dynamic nonlinear mapping ability of RBF neural network. The velocity of microwave is predicted in real time with the consideration of the temporal characteristics of traffic flow by the models.The results indicate that the Mean Absolute Percentage Error of combined model is lower, and the goodness of fit of combined model is higher.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yuqiong Wang PY - 2016/06 DA - 2016/06 TI - Traffic Flow Prediction Based on Combined Model of ARIMA and RBF Neural Network BT - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017) PB - Atlantis Press SN - 2352-5401 UR - https://doi.org/10.2991/mecs-17.2017.14 DO - https://doi.org/10.2991/mecs-17.2017.14 ID - Wang2016/06 ER -