最小二乘支持向量机在公路交通客流量预测中的应用  

Application of Least Squares Support Vector Machine in Road Traffic Passenger Volume Forecast

作　　者：靳召东[1] 陈虹[2] 刘琳[2] 张钲浩[2] 

机构地区：[1]扬州大学信息工程学院,江苏扬州225009 [2]扬州大学能源与动力学院,江苏扬州225009

出　　处：《交通标准化》2010年第9期11-13,共3页Communications Standardization

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

关 键 词：交通客流量 最小二乘支持向量机 预测 

分 类 号：U491.14[交通运输工程—交通运输规划与管理]