Using back propagation（ BP） neural network in traffic flow predicting easy to fall into local optimum and speed of optimizing is slow. Therefore

using social emotional optimization（ SEO） algorithm to optimize the parameters of BP network. In SEO

each individual represents a BP network and optimizing through cooperation and competition between individuals that having three emotions. To choose uncertain emotion with different probabilities

use three emotional random selection strategys based on Levy

normal and Cauchy distribution in different ways and this solution can make the update mode of emotion better simulate people ’s normal psychological change. Experimental results show that compared with other forecasting models

these models are more advantageous to search the global optimal solution and the predicting precision can be effectively improved.