摘要
交通客流量预测是交通规划的重要内容,对于交通规划具有重要意义。利用最小二乘支持向量机理论,建立交通客流量预测模型,通过与BP神经网络预测模型实验结果进行比较,验证了其在交通客流量预测中的有效性。
Traffic passenger volume forecast is an important aspect of traffic plan,and is very important to traffic plan.Using the theory of least squares support vector machine,the model of traffic passenger volume forecast is established to compare with the experimental result of BP neutral network forecast model.It is proved that the least squares support vector machine is effective in traffic passenger volume forecast
出处
《交通标准化》
2010年第9期11-13,共3页
Communications Standardization
关键词
交通客流量
最小二乘支持向量机
预测
traffic passenger volume
least squares support vector machine
forecast
