基于BP-NN和遗传算法的高速公路交通量预测

Prediction of Highway Traffic Based on BP-Neural Network and Genetic Algorithms

高速公路交通量预测对于高速公路建设和管理具有重要的指导作用,针对传统预测方法准确性低、预测时间长等问题,提出了将BP神经网络和遗传算法有机结合起来的遗传—神经网络预测模型,并且在实现过程中通过对两种算法的改进,进一步提高预测的效率和准确性,最终通过实验数据验证了该算法具有优良性能。

The traffic prediction has an important instructing effect on the highway construction and organization. Traditional prediction method has some problems,such as low accuracy and effficiency,so this paper presents a model based on the combination of genetic algorithm and artificial neural network,further more,by improving these two methods in the process of implementation,further increases the accuracy and efficiency.At last,some experiments are made to prove its fine performance.