摘要
采用长春市实际调查数据对一种基于浮动车的路段行程时间多时间尺度预测方法进行仿真实验,结果表明基于该方法的交通流路段行程时间多时间尺度预测结果与真实值之间的平均绝对相对误差均小于7%,完全满足路段行程时间预测的精度要求。
The paper puts forward a multi-time scale prediction method for road-section travel time based on probe vehicle.A simulation experiment based on the investigated data of Changchun city is designed.The result shows that both absolute and relative deviation between multi time scale predictive data and true data are less than 7%,which fully satisfies the prediction accuracy requirement for road-section travel time.
出处
《交通标准化》
2012年第20期105-109,共5页
Communications Standardization
关键词
智能交通系统
多时间尺度预测
人工神经网络
路段行程时间
intelligent transportation system
multi-time scale prediction
artificial neural network
road-section travel time
