Prediction of traffic flow based on the EMD and wavelet neural network
Teng Feng, Xiaohong Wang, Yunlai He
Available Online June 2015.
- https://doi.org/10.2991/icecee-15.2015.178How to use a DOI?
- traffic flow; prediction; EMD; wavelet neural network
- The operation of the urban traffic exist a high degree of complexity and randomness. The key of Intelligent Transportation System is the real-time and accurate traffic flow prediction. Taking effective measures in a timely manner would prevent the occurrence of traffic accidents since traffic congestion brings much traffic inconvenience to people. Real-time traffic flow prediction plays a significant role in easing traffic congestion and guiding convenient travelling. Therefore, considering the characteristics of traffic flow, this paper presents a neural network, wavelet analysis method, and the EMD and wavelet neural network method respectively. Three methods are utilized in simulating the same set of traffic data and then the most effective way of solving traffic congestion is obtained by taking contrast analysis of simulation result.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Teng Feng AU - Xiaohong Wang AU - Yunlai He PY - 2015/06 DA - 2015/06 TI - Prediction of traffic flow based on the EMD and wavelet neural network PB - Atlantis Press SP - 933 EP - 938 SN - 2352-538X UR - https://doi.org/10.2991/icecee-15.2015.178 DO - https://doi.org/10.2991/icecee-15.2015.178 ID - Feng2015/06 ER -